From cfa2216d0ced234f36eb138621dd1cea7f99d56d Mon Sep 17 00:00:00 2001
From: Henry Ruhs <info@henryruhs.com>
Date: Wed, 5 Nov 2025 12:00:20 +0100
Subject: [PATCH] Feels so good to get rid of Gradio (#978)

---
 .github/preview.png                           | Bin 1354191 -> 0 bytes
 README.md                                     |   7 -
 facefusion.ini                                |   5 -
 facefusion/app_context.py                     |   4 +-
 facefusion/args.py                            |   4 -
 facefusion/choices.py                         |   3 +-
 facefusion/core.py                            |  11 -
 facefusion/inference_manager.py               |  10 +-
 facefusion/locales.py                         |   5 -
 facefusion/program.py                         |  13 +-
 facefusion/state_manager.py                   |   8 +-
 facefusion/types.py                           |  10 +-
 facefusion/uis/__init__.py                    |   0
 facefusion/uis/assets/overrides.css           | 163 ----------
 facefusion/uis/choices.py                     |  25 --
 facefusion/uis/components/__init__.py         |   0
 facefusion/uis/components/about.py            |  41 ---
 .../uis/components/age_modifier_options.py    |  64 ----
 .../components/background_remover_options.py  | 107 -------
 facefusion/uis/components/benchmark.py        |  51 ---
 .../uis/components/benchmark_options.py       |  54 ----
 facefusion/uis/components/common_options.py   |  32 --
 .../uis/components/deep_swapper_options.py    |  64 ----
 facefusion/uis/components/download.py         |  48 ---
 facefusion/uis/components/execution.py        |  48 ---
 .../uis/components/execution_thread_count.py  |  29 --
 .../components/expression_restorer_options.py |  80 -----
 .../uis/components/face_debugger_options.py   |  40 ---
 facefusion/uis/components/face_detector.py    | 103 ------
 .../uis/components/face_editor_options.py     | 272 ----------------
 .../uis/components/face_enhancer_options.py   |  81 -----
 facefusion/uis/components/face_landmarker.py  |  50 ---
 facefusion/uis/components/face_masker.py      | 181 -----------
 facefusion/uis/components/face_selector.py    | 231 --------------
 .../uis/components/face_swapper_options.py    |  84 -----
 .../uis/components/frame_colorizer_options.py |  81 -----
 .../uis/components/frame_enhancer_options.py  |  64 ----
 facefusion/uis/components/instant_runner.py   | 110 -------
 facefusion/uis/components/job_list.py         |  50 ---
 facefusion/uis/components/job_list_options.py |  35 --
 facefusion/uis/components/job_manager.py      | 194 -----------
 facefusion/uis/components/job_runner.py       | 142 --------
 .../uis/components/lip_syncer_options.py      |  64 ----
 facefusion/uis/components/memory.py           |  42 ---
 facefusion/uis/components/output.py           |  48 ---
 facefusion/uis/components/output_options.py   | 184 -----------
 facefusion/uis/components/preview.py          | 302 ------------------
 facefusion/uis/components/preview_options.py  |  61 ----
 facefusion/uis/components/processors.py       |  49 ---
 facefusion/uis/components/source.py           |  61 ----
 facefusion/uis/components/target.py           |  65 ----
 facefusion/uis/components/temp_frame.py       |  42 ---
 facefusion/uis/components/terminal.py         |  80 -----
 facefusion/uis/components/trim_frame.py       |  62 ----
 facefusion/uis/components/ui_workflow.py      |  21 --
 facefusion/uis/components/voice_extractor.py  |  50 ---
 facefusion/uis/components/webcam.py           | 115 -------
 facefusion/uis/components/webcam_options.py   |  49 ---
 facefusion/uis/core.py                        | 198 ------------
 facefusion/uis/layouts/benchmark.py           |  79 -----
 facefusion/uis/layouts/default.py             | 125 --------
 facefusion/uis/layouts/jobs.py                |  31 --
 facefusion/uis/layouts/webcam.py              |  74 -----
 facefusion/uis/overrides.py                   |  31 --
 facefusion/uis/types.py                       |  99 ------
 facefusion/uis/ui_helper.py                   |  26 --
 requirements.txt                              |   2 -
 tests/test_cli_age_modifier.py                |   4 +-
 tests/test_cli_background_remover.py          |   4 +-
 tests/test_cli_expression_restorer.py         |   4 +-
 tests/test_cli_face_debugger.py               |   4 +-
 tests/test_cli_face_editor.py                 |   4 +-
 tests/test_cli_face_enhancer.py               |   4 +-
 tests/test_cli_face_swapper.py                |   4 +-
 tests/test_cli_frame_colorizer.py             |   4 +-
 tests/test_cli_frame_enhancer.py              |   4 +-
 tests/test_cli_lip_syncer.py                  |   4 +-
 tests/test_cli_output_scale.py                |   4 +-
 tests/test_inference_manager.py               |   4 +-
 tests/test_state_manager.py                   |   6 +-
 80 files changed, 41 insertions(+), 4577 deletions(-)
 delete mode 100644 .github/preview.png
 delete mode 100644 facefusion/uis/__init__.py
 delete mode 100644 facefusion/uis/assets/overrides.css
 delete mode 100644 facefusion/uis/choices.py
 delete mode 100644 facefusion/uis/components/__init__.py
 delete mode 100644 facefusion/uis/components/about.py
 delete mode 100755 facefusion/uis/components/age_modifier_options.py
 delete mode 100644 facefusion/uis/components/background_remover_options.py
 delete mode 100644 facefusion/uis/components/benchmark_options.py
 delete mode 100644 facefusion/uis/components/common_options.py
 delete mode 100755 facefusion/uis/components/deep_swapper_options.py
 delete mode 100644 facefusion/uis/components/download.py
 delete mode 100644 facefusion/uis/components/execution.py
 delete mode 100644 facefusion/uis/components/execution_thread_count.py
 delete mode 100755 facefusion/uis/components/expression_restorer_options.py
 delete mode 100755 facefusion/uis/components/face_debugger_options.py
 delete mode 100644 facefusion/uis/components/face_detector.py
 delete mode 100755 facefusion/uis/components/face_editor_options.py
 delete mode 100755 facefusion/uis/components/face_enhancer_options.py
 delete mode 100644 facefusion/uis/components/face_landmarker.py
 delete mode 100755 facefusion/uis/components/face_masker.py
 delete mode 100644 facefusion/uis/components/face_selector.py
 delete mode 100755 facefusion/uis/components/face_swapper_options.py
 delete mode 100755 facefusion/uis/components/frame_colorizer_options.py
 delete mode 100755 facefusion/uis/components/frame_enhancer_options.py
 delete mode 100644 facefusion/uis/components/instant_runner.py
 delete mode 100644 facefusion/uis/components/job_list.py
 delete mode 100644 facefusion/uis/components/job_list_options.py
 delete mode 100644 facefusion/uis/components/job_manager.py
 delete mode 100644 facefusion/uis/components/job_runner.py
 delete mode 100755 facefusion/uis/components/lip_syncer_options.py
 delete mode 100644 facefusion/uis/components/memory.py
 delete mode 100644 facefusion/uis/components/output.py
 delete mode 100644 facefusion/uis/components/output_options.py
 delete mode 100644 facefusion/uis/components/preview_options.py
 delete mode 100644 facefusion/uis/components/processors.py
 delete mode 100644 facefusion/uis/components/source.py
 delete mode 100644 facefusion/uis/components/target.py
 delete mode 100644 facefusion/uis/components/temp_frame.py
 delete mode 100644 facefusion/uis/components/terminal.py
 delete mode 100644 facefusion/uis/components/trim_frame.py
 delete mode 100644 facefusion/uis/components/ui_workflow.py
 delete mode 100644 facefusion/uis/components/voice_extractor.py
 delete mode 100644 facefusion/uis/components/webcam_options.py
 delete mode 100644 facefusion/uis/core.py
 delete mode 100644 facefusion/uis/layouts/benchmark.py
 delete mode 100755 facefusion/uis/layouts/default.py
 delete mode 100755 facefusion/uis/layouts/jobs.py
 delete mode 100644 facefusion/uis/layouts/webcam.py
 delete mode 100644 facefusion/uis/overrides.py
 delete mode 100644 facefusion/uis/types.py
 delete mode 100644 facefusion/uis/ui_helper.py

diff --git a/.github/preview.png b/.github/preview.png
deleted file mode 100644
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diff --git a/README.md b/README.md
index 5eb32f4f..2942ff05 100644
--- a/README.md
+++ b/README.md
@@ -8,12 +8,6 @@ FaceFusion
 ![License](https://img.shields.io/badge/license-OpenRAIL--AS-green)
 
 
-Preview
--------
-
-![Preview](https://raw.githubusercontent.com/facefusion/facefusion/master/.github/preview.png?sanitize=true)
-
-
 Installation
 ------------
 
@@ -34,7 +28,6 @@ options:
 
 commands:
     run                                           run the program
-    headless-run                                  run the program in headless mode
     batch-run                                     run the program in batch mode
     force-download                                force automate downloads and exit
     benchmark                                     benchmark the program
diff --git a/facefusion.ini b/facefusion.ini
index 5e36fae5..d74e8364 100644
--- a/facefusion.ini
+++ b/facefusion.ini
@@ -103,11 +103,6 @@ frame_enhancer_blend =
 lip_syncer_model =
 lip_syncer_weight =
 
-[uis]
-open_browser =
-ui_layouts =
-ui_workflow =
-
 [download]
 download_providers =
 download_scope =
diff --git a/facefusion/app_context.py b/facefusion/app_context.py
index d54f961e..4c419995 100644
--- a/facefusion/app_context.py
+++ b/facefusion/app_context.py
@@ -10,7 +10,7 @@ def detect_app_context() -> AppContext:
 	while frame:
 		if os.path.join('facefusion', 'jobs') in frame.f_code.co_filename:
 			return 'cli'
-		if os.path.join('facefusion', 'uis') in frame.f_code.co_filename:
-			return 'ui'
+		if os.path.join('facefusion', 'apis') in frame.f_code.co_filename:
+			return 'api'
 		frame = frame.f_back
 	return 'cli'
diff --git a/facefusion/args.py b/facefusion/args.py
index 61352fd5..269711ec 100644
--- a/facefusion/args.py
+++ b/facefusion/args.py
@@ -104,10 +104,6 @@ def apply_args(args : Args, apply_state_item : ApplyStateItem) -> None:
 	apply_state_item('processors', args.get('processors'))
 	for processor_module in get_processors_modules(available_processors):
 		processor_module.apply_args(args, apply_state_item)
-	# uis
-	apply_state_item('open_browser', args.get('open_browser'))
-	apply_state_item('ui_layouts', args.get('ui_layouts'))
-	apply_state_item('ui_workflow', args.get('ui_workflow'))
 	# execution
 	apply_state_item('execution_device_ids', args.get('execution_device_ids'))
 	apply_state_item('execution_providers', args.get('execution_providers'))
diff --git a/facefusion/choices.py b/facefusion/choices.py
index f5eee4f1..0ddc3588 100755
--- a/facefusion/choices.py
+++ b/facefusion/choices.py
@@ -2,7 +2,7 @@ import logging
 from typing import List, Sequence
 
 from facefusion.common_helper import create_float_range, create_int_range
-from facefusion.types import Angle, AudioEncoder, AudioFormat, AudioTypeSet, BenchmarkMode, BenchmarkResolution, BenchmarkSet, DownloadProvider, DownloadProviderSet, DownloadScope, EncoderSet, ExecutionProvider, ExecutionProviderSet, FaceDetectorModel, FaceDetectorSet, FaceLandmarkerModel, FaceMaskArea, FaceMaskAreaSet, FaceMaskRegion, FaceMaskRegionSet, FaceMaskType, FaceOccluderModel, FaceParserModel, FaceSelectorMode, FaceSelectorOrder, Gender, ImageFormat, ImageTypeSet, JobStatus, LogLevel, LogLevelSet, Race, Score, TempFrameFormat, UiWorkflow, VideoEncoder, VideoFormat, VideoMemoryStrategy, VideoPreset, VideoTypeSet, VoiceExtractorModel
+from facefusion.types import Angle, AudioEncoder, AudioFormat, AudioTypeSet, BenchmarkMode, BenchmarkResolution, BenchmarkSet, DownloadProvider, DownloadProviderSet, DownloadScope, EncoderSet, ExecutionProvider, ExecutionProviderSet, FaceDetectorModel, FaceDetectorSet, FaceLandmarkerModel, FaceMaskArea, FaceMaskAreaSet, FaceMaskRegion, FaceMaskRegionSet, FaceMaskType, FaceOccluderModel, FaceParserModel, FaceSelectorMode, FaceSelectorOrder, Gender, ImageFormat, ImageTypeSet, JobStatus, LogLevel, LogLevelSet, Race, Score, TempFrameFormat, VideoEncoder, VideoFormat, VideoMemoryStrategy, VideoPreset, VideoTypeSet, VoiceExtractorModel
 
 face_detector_set : FaceDetectorSet =\
 {
@@ -147,7 +147,6 @@ log_level_set : LogLevelSet =\
 }
 log_levels : List[LogLevel] = list(log_level_set.keys())
 
-ui_workflows : List[UiWorkflow] = [ 'instant_runner', 'job_runner', 'job_manager' ]
 job_statuses : List[JobStatus] = [ 'drafted', 'queued', 'completed', 'failed' ]
 
 benchmark_cycle_count_range : Sequence[int] = create_int_range(1, 10, 1)
diff --git a/facefusion/core.py b/facefusion/core.py
index 1feb1d21..228768cd 100755
--- a/facefusion/core.py
+++ b/facefusion/core.py
@@ -62,17 +62,6 @@ def route(args : Args) -> None:
 		hard_exit(error_code)
 
 	if state_manager.get_item('command') == 'run':
-		import facefusion.uis.core as ui
-
-		if not common_pre_check() or not processors_pre_check():
-			hard_exit(2)
-		for ui_layout in ui.get_ui_layouts_modules(state_manager.get_item('ui_layouts')):
-			if not ui_layout.pre_check():
-				hard_exit(2)
-		ui.init()
-		ui.launch()
-
-	if state_manager.get_item('command') == 'headless-run':
 		if not job_manager.init_jobs(state_manager.get_item('jobs_path')):
 			hard_exit(1)
 		error_code = process_headless(args)
diff --git a/facefusion/inference_manager.py b/facefusion/inference_manager.py
index 1060fbfc..b81155f2 100644
--- a/facefusion/inference_manager.py
+++ b/facefusion/inference_manager.py
@@ -17,7 +17,7 @@ from facefusion.types import DownloadSet, ExecutionProvider, InferencePool, Infe
 INFERENCE_POOL_SET : InferencePoolSet =\
 {
 	'cli': {},
-	'ui': {}
+	'api': {}
 }
 
 
@@ -31,10 +31,10 @@ def get_inference_pool(module_name : str, model_names : List[str], model_source_
 	for execution_device_id in execution_device_ids:
 		inference_context = get_inference_context(module_name, model_names, execution_device_id, execution_providers)
 
-		if app_context == 'cli' and INFERENCE_POOL_SET.get('ui').get(inference_context):
-			INFERENCE_POOL_SET['cli'][inference_context] = INFERENCE_POOL_SET.get('ui').get(inference_context)
-		if app_context == 'ui' and INFERENCE_POOL_SET.get('cli').get(inference_context):
-			INFERENCE_POOL_SET['ui'][inference_context] = INFERENCE_POOL_SET.get('cli').get(inference_context)
+		if app_context == 'cli' and INFERENCE_POOL_SET.get('api').get(inference_context):
+			INFERENCE_POOL_SET['cli'][inference_context] = INFERENCE_POOL_SET.get('api').get(inference_context)
+		if app_context == 'api' and INFERENCE_POOL_SET.get('cli').get(inference_context):
+			INFERENCE_POOL_SET['api'][inference_context] = INFERENCE_POOL_SET.get('cli').get(inference_context)
 		if not INFERENCE_POOL_SET.get(app_context).get(inference_context):
 			INFERENCE_POOL_SET[app_context][inference_context] = create_inference_pool(model_source_set, execution_device_id, execution_providers)
 
diff --git a/facefusion/locales.py b/facefusion/locales.py
index 2959b2eb..1b8696bf 100644
--- a/facefusion/locales.py
+++ b/facefusion/locales.py
@@ -149,9 +149,6 @@ LOCALES : Locales =\
 			'processors': 'load a single or multiple processors (choices: {choices}, ...)',
 			'background-remover-model': 'choose the model responsible for removing the background',
 			'background-remover-color': 'apply red, green blue and alpha values of the background',
-			'open_browser': 'open the browser once the program is ready',
-			'ui_layouts': 'launch a single or multiple UI layouts (choices: {choices}, ...)',
-			'ui_workflow': 'choose the ui workflow',
 			'download_providers': 'download using different providers (choices: {choices}, ...)',
 			'download_scope': 'specify the download scope',
 			'benchmark_mode': 'choose the benchmark mode',
@@ -165,7 +162,6 @@ LOCALES : Locales =\
 			'log_level': 'adjust the message severity displayed in the terminal',
 			'halt_on_error': 'halt the program once an error occurred',
 			'run': 'run the program',
-			'headless_run': 'run the program in headless mode',
 			'batch_run': 'run the program in batch mode',
 			'force_download': 'force automate downloads and exit',
 			'benchmark': 'benchmark the program',
@@ -262,7 +258,6 @@ LOCALES : Locales =\
 			'temp_frame_format_dropdown': 'TEMP FRAME FORMAT',
 			'terminal_textbox': 'TERMINAL',
 			'trim_frame_slider': 'TRIM FRAME',
-			'ui_workflow': 'UI WORKFLOW',
 			'video_memory_strategy_dropdown': 'VIDEO MEMORY STRATEGY',
 			'webcam_fps_slider': 'WEBCAM FPS',
 			'webcam_image': 'WEBCAM',
diff --git a/facefusion/program.py b/facefusion/program.py
index 8c8d8d25..2aa354c3 100755
--- a/facefusion/program.py
+++ b/facefusion/program.py
@@ -195,16 +195,6 @@ def create_processors_program() -> ArgumentParser:
 	return program
 
 
-def create_uis_program() -> ArgumentParser:
-	program = ArgumentParser(add_help = False)
-	available_ui_layouts = [ get_file_name(file_path) for file_path in resolve_file_paths('facefusion/uis/layouts') ]
-	group_uis = program.add_argument_group('uis')
-	group_uis.add_argument('--open-browser', help = translator.get('help.open_browser'), action = 'store_true', default = config.get_bool_value('uis', 'open_browser'))
-	group_uis.add_argument('--ui-layouts', help = translator.get('help.ui_layouts').format(choices = ', '.join(available_ui_layouts)), default = config.get_str_list('uis', 'ui_layouts', 'default'), nargs = '+')
-	group_uis.add_argument('--ui-workflow', help = translator.get('help.ui_workflow'), default = config.get_str_value('uis', 'ui_workflow', 'instant_runner'), choices = facefusion.choices.ui_workflows)
-	return program
-
-
 def create_download_providers_program() -> ArgumentParser:
 	program = ArgumentParser(add_help = False)
 	group_download = program.add_argument_group('download')
@@ -298,8 +288,7 @@ def create_program() -> ArgumentParser:
 	program.add_argument('-v', '--version', version = metadata.get('name') + ' ' + metadata.get('version'), action = 'version')
 	sub_program = program.add_subparsers(dest = 'command')
 	# general
-	sub_program.add_parser('run', help = translator.get('help.run'), parents = [ create_config_path_program(), create_temp_path_program(), create_jobs_path_program(), create_source_paths_program(), create_target_path_program(), create_output_path_program(), collect_step_program(), create_uis_program(), create_benchmark_program(), collect_job_program() ], formatter_class = create_help_formatter_large)
-	sub_program.add_parser('headless-run', help = translator.get('help.headless_run'), parents = [ create_config_path_program(), create_temp_path_program(), create_jobs_path_program(), create_source_paths_program(), create_target_path_program(), create_output_path_program(), collect_step_program(), collect_job_program() ], formatter_class = create_help_formatter_large)
+	sub_program.add_parser('run', help = translator.get('help.run'), parents = [ create_config_path_program(), create_temp_path_program(), create_jobs_path_program(), create_source_paths_program(), create_target_path_program(), create_output_path_program(), collect_step_program(), collect_job_program() ], formatter_class = create_help_formatter_large)
 	sub_program.add_parser('batch-run', help = translator.get('help.batch_run'), parents = [ create_config_path_program(), create_temp_path_program(), create_jobs_path_program(), create_source_pattern_program(), create_target_pattern_program(), create_output_pattern_program(), collect_step_program(), collect_job_program() ], formatter_class = create_help_formatter_large)
 	sub_program.add_parser('force-download', help = translator.get('help.force_download'), parents = [ create_download_providers_program(), create_download_scope_program(), create_log_level_program() ], formatter_class = create_help_formatter_large)
 	sub_program.add_parser('benchmark', help = translator.get('help.benchmark'), parents = [ create_temp_path_program(), collect_step_program(), create_benchmark_program(), collect_job_program() ], formatter_class = create_help_formatter_large)
diff --git a/facefusion/state_manager.py b/facefusion/state_manager.py
index 3842735d..83b57f60 100644
--- a/facefusion/state_manager.py
+++ b/facefusion/state_manager.py
@@ -7,7 +7,7 @@ from facefusion.types import State, StateKey, StateSet
 STATE_SET : Union[StateSet, ProcessorStateSet] =\
 {
 	'cli': {}, #type:ignore[assignment]
-	'ui': {} #type:ignore[assignment]
+	'api': {} #type:ignore[assignment]
 }
 
 
@@ -17,12 +17,12 @@ def get_state() -> Union[State, ProcessorState]:
 
 
 def sync_state() -> None:
-	STATE_SET['cli'] = STATE_SET.get('ui') #type:ignore[assignment]
+	STATE_SET['cli'] = STATE_SET.get('api') #type:ignore[assignment]
 
 
 def init_item(key : Union[StateKey, ProcessorStateKey], value : Any) -> None:
 	STATE_SET['cli'][key] = value #type:ignore[literal-required]
-	STATE_SET['ui'][key] = value #type:ignore[literal-required]
+	STATE_SET['api'][key] = value #type:ignore[literal-required]
 
 
 def get_item(key : Union[StateKey, ProcessorStateKey]) -> Any:
@@ -35,7 +35,7 @@ def set_item(key : Union[StateKey, ProcessorStateKey], value : Any) -> None:
 
 
 def sync_item(key : Union[StateKey, ProcessorStateKey]) -> None:
-	STATE_SET['cli'][key] = STATE_SET.get('ui').get(key) #type:ignore[literal-required]
+	STATE_SET['cli'][key] = STATE_SET.get('api').get(key) #type:ignore[literal-required]
 
 
 def clear_item(key : Union[StateKey, ProcessorStateKey]) -> None:
diff --git a/facefusion/types.py b/facefusion/types.py
index 1503ed71..05933461 100755
--- a/facefusion/types.py
+++ b/facefusion/types.py
@@ -227,13 +227,11 @@ Download = TypedDict('Download',
 DownloadSet : TypeAlias = Dict[str, Download]
 
 VideoMemoryStrategy = Literal['strict', 'moderate', 'tolerant']
-AppContext = Literal['cli', 'ui']
+AppContext = Literal['cli', 'api']
 
 InferencePool : TypeAlias = Dict[str, InferenceSession]
 InferencePoolSet : TypeAlias = Dict[AppContext, Dict[str, InferencePool]]
 
-UiWorkflow = Literal['instant_runner', 'job_runner', 'job_manager']
-
 JobStore = TypedDict('JobStore',
 {
 	'job_keys' : List[str],
@@ -312,9 +310,6 @@ StateKey = Literal\
 	'output_video_scale',
 	'output_video_fps',
 	'processors',
-	'open_browser',
-	'ui_layouts',
-	'ui_workflow',
 	'execution_device_ids',
 	'execution_providers',
 	'execution_thread_count',
@@ -382,9 +377,6 @@ State = TypedDict('State',
 	'output_video_scale' : Scale,
 	'output_video_fps' : float,
 	'processors' : List[str],
-	'open_browser' : bool,
-	'ui_layouts' : List[str],
-	'ui_workflow' : UiWorkflow,
 	'execution_device_ids' : List[int],
 	'execution_providers' : List[ExecutionProvider],
 	'execution_thread_count' : int,
diff --git a/facefusion/uis/__init__.py b/facefusion/uis/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/facefusion/uis/assets/overrides.css b/facefusion/uis/assets/overrides.css
deleted file mode 100644
index 0141d598..00000000
--- a/facefusion/uis/assets/overrides.css
+++ /dev/null
@@ -1,163 +0,0 @@
-:root:root:root:root .gradio-container
-{
-	overflow: unset;
-}
-
-:root:root:root:root main
-{
-	max-width: 110em;
-}
-
-:root:root:root:root .tab-like-container input[type="number"]
-{
-	border-radius: unset;
-	text-align: center;
-	order: 1;
-	padding: unset
-}
-
-:root:root:root:root input[type="number"]
-{
-	appearance: textfield;
-}
-
-:root:root:root:root input[type="number"]::-webkit-inner-spin-button
-{
-	appearance: none;
-}
-
-:root:root:root:root input[type="number"]:focus
-{
-	outline: unset;
-}
-
-:root:root:root:root .reset-button
-{
-	background: var(--background-fill-secondary);
-	border: unset;
-	font-size: unset;
-	padding: unset;
-}
-
-:root:root:root:root [type="checkbox"],
-:root:root:root:root [type="radio"]
-{
-	border-radius: 50%;
-	height: 1.125rem;
-	width: 1.125rem;
-}
-
-:root:root:root:root input[type="range"]
-{
-	background: transparent;
-}
-
-:root:root:root:root input[type="range"]::-moz-range-thumb,
-:root:root:root:root input[type="range"]::-webkit-slider-thumb
-{
-	background: var(--neutral-300);
-	box-shadow: unset;
-	border-radius: 50%;
-	height: 1.125rem;
-	width: 1.125rem;
-}
-
-:root:root:root:root .thumbnail-item
-{
-	border: unset;
-	box-shadow: unset;
-}
-
-:root:root:root:root .grid-wrap.fixed-height
-{
-	min-height: unset;
-}
-
-:root:root:root:root .box-face-selector .empty,
-:root:root:root:root .box-face-selector .gallery-container
-{
-	min-height: 7.375rem;
-}
-
-:root:root:root:root .tab-wrapper
-{
-	padding: 0 0.625rem;
-}
-
-:root:root:root:root .tab-container
-{
-	gap: 0.5em;
-}
-
-:root:root:root:root .tab-container button
-{
-	background: unset;
-	border-bottom: 0.125rem solid;
-}
-
-:root:root:root:root .tab-container button.selected
-{
-	color: var(--primary-500)
-}
-
-:root:root:root:root .toast-body
-{
-	background: white;
-	color: var(--primary-500);
-	border: unset;
-	border-radius: unset;
-}
-
-:root:root:root:root .dark .toast-body
-{
-	background: var(--neutral-900);
-	color: var(--primary-600);
-}
-
-:root:root:root:root .toast-icon,
-:root:root:root:root .toast-title,
-:root:root:root:root .toast-text,
-:root:root:root:root .toast-close
-{
-	color: unset;
-}
-
-:root:root:root:root .toast-body .timer
-{
-	background: currentColor;
-}
-
-:root:root:root:root .slider_input_container > span,
-:root:root:root:root .feather-upload,
-:root:root:root:root footer
-{
-	display: none;
-}
-
-:root:root:root:root .image-frame
-{
-	background-image: conic-gradient(#fff 90deg, #999 90deg 180deg, #fff 180deg 270deg, #999 270deg);
-	background-size: 1.25rem 1.25rem;
-	background-repeat: repeat;
-	width: 100%;
-}
-
-:root:root:root:root .image-frame > img
-{
-	object-fit: cover;
-}
-
-:root:root:root:root .image-preview.is-landscape
-{
-	position: sticky;
-	top: 0;
-	z-index: 100;
-}
-
-:root:root:root:root .block .error
-{
-	border: 0.125rem solid;
-	padding: 0.375rem 0.75rem;
-	font-size: 0.75rem;
-	text-transform: uppercase;
-}
diff --git a/facefusion/uis/choices.py b/facefusion/uis/choices.py
deleted file mode 100644
index f5126925..00000000
--- a/facefusion/uis/choices.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from typing import Dict, List
-
-from facefusion.types import Color, WebcamMode
-from facefusion.uis.types import JobManagerAction, JobRunnerAction, PreviewMode
-
-job_manager_actions : List[JobManagerAction] = [ 'job-create', 'job-submit', 'job-delete', 'job-add-step', 'job-remix-step', 'job-insert-step', 'job-remove-step' ]
-job_runner_actions : List[JobRunnerAction] = [ 'job-run', 'job-run-all', 'job-retry', 'job-retry-all' ]
-
-common_options : List[str] = [ 'keep-temp' ]
-
-preview_modes : List[PreviewMode] = [ 'default', 'frame-by-frame', 'face-by-face' ]
-preview_resolutions : List[str] = [ '512x512', '768x768', '1024x1024' ]
-
-webcam_modes : List[WebcamMode] = [ 'inline', 'udp', 'v4l2' ]
-webcam_resolutions : List[str] = [ '320x240', '640x480', '800x600', '1024x768', '1280x720', '1280x960', '1920x1080' ]
-
-background_remover_colors : Dict[str, Color] =\
-{
-	'red' : (255, 0, 0, 255),
-	'green' : (0, 255, 0, 255),
-	'blue' : (0, 0, 255, 255),
-	'black' : (0, 0, 0, 255),
-	'white' : (255, 255, 255, 255),
-	'alpha' : (0, 0, 0, 0)
-}
diff --git a/facefusion/uis/components/__init__.py b/facefusion/uis/components/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/facefusion/uis/components/about.py b/facefusion/uis/components/about.py
deleted file mode 100644
index f4b98dcc..00000000
--- a/facefusion/uis/components/about.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import random
-from typing import Optional
-
-import gradio
-
-from facefusion import metadata, translator
-
-METADATA_BUTTON : Optional[gradio.Button] = None
-ACTION_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global METADATA_BUTTON
-	global ACTION_BUTTON
-
-	action = random.choice(
-	[
-		{
-			'translator': translator.get('about.fund'),
-			'url': 'https://fund.facefusion.io'
-		},
-		{
-			'translator': translator.get('about.subscribe'),
-			'url': 'https://subscribe.facefusion.io'
-		},
-		{
-			'translator': translator.get('about.join'),
-			'url': 'https://join.facefusion.io'
-		}
-	])
-
-	METADATA_BUTTON = gradio.Button(
-		value = metadata.get('name') + ' ' + metadata.get('version'),
-		variant = 'primary',
-		link = metadata.get('url')
-	)
-	ACTION_BUTTON = gradio.Button(
-		value = action.get('translator'),
-		link = action.get('url'),
-		size = 'sm'
-	)
diff --git a/facefusion/uis/components/age_modifier_options.py b/facefusion/uis/components/age_modifier_options.py
deleted file mode 100755
index 7e4fec91..00000000
--- a/facefusion/uis/components/age_modifier_options.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.age_modifier import choices as age_modifier_choices
-from facefusion.processors.modules.age_modifier.types import AgeModifierModel
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-AGE_MODIFIER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-AGE_MODIFIER_DIRECTION_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global AGE_MODIFIER_MODEL_DROPDOWN
-	global AGE_MODIFIER_DIRECTION_SLIDER
-
-	has_age_modifier = 'age_modifier' in state_manager.get_item('processors')
-	AGE_MODIFIER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.age_modifier'),
-		choices = age_modifier_choices.age_modifier_models,
-		value = state_manager.get_item('age_modifier_model'),
-		visible = has_age_modifier
-	)
-	AGE_MODIFIER_DIRECTION_SLIDER = gradio.Slider(
-		label = translator.get('uis.direction_slider', 'facefusion.processors.modules.age_modifier'),
-		value = state_manager.get_item('age_modifier_direction'),
-		step = calculate_float_step(age_modifier_choices.age_modifier_direction_range),
-		minimum = age_modifier_choices.age_modifier_direction_range[0],
-		maximum = age_modifier_choices.age_modifier_direction_range[-1],
-		visible = has_age_modifier
-	)
-	register_ui_component('age_modifier_model_dropdown', AGE_MODIFIER_MODEL_DROPDOWN)
-	register_ui_component('age_modifier_direction_slider', AGE_MODIFIER_DIRECTION_SLIDER)
-
-
-def listen() -> None:
-	AGE_MODIFIER_MODEL_DROPDOWN.change(update_age_modifier_model, inputs = AGE_MODIFIER_MODEL_DROPDOWN, outputs = AGE_MODIFIER_MODEL_DROPDOWN)
-	AGE_MODIFIER_DIRECTION_SLIDER.release(update_age_modifier_direction, inputs = AGE_MODIFIER_DIRECTION_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ AGE_MODIFIER_MODEL_DROPDOWN, AGE_MODIFIER_DIRECTION_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider]:
-	has_age_modifier = 'age_modifier' in processors
-	return gradio.Dropdown(visible = has_age_modifier), gradio.Slider(visible = has_age_modifier)
-
-
-def update_age_modifier_model(age_modifier_model : AgeModifierModel) -> gradio.Dropdown:
-	age_modifier_module = load_processor_module('age_modifier')
-	age_modifier_module.clear_inference_pool()
-	state_manager.set_item('age_modifier_model', age_modifier_model)
-
-	if age_modifier_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('age_modifier_model'))
-	return gradio.Dropdown()
-
-
-def update_age_modifier_direction(age_modifier_direction : float) -> None:
-	state_manager.set_item('age_modifier_direction', int(age_modifier_direction))
diff --git a/facefusion/uis/components/background_remover_options.py b/facefusion/uis/components/background_remover_options.py
deleted file mode 100644
index e8ce10ab..00000000
--- a/facefusion/uis/components/background_remover_options.py
+++ /dev/null
@@ -1,107 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.background_remover import choices as background_remover_choices
-from facefusion.processors.modules.background_remover.types import BackgroundRemoverModel
-from facefusion.sanitizer import sanitize_int_range
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-BACKGROUND_REMOVER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-BACKGROUND_REMOVER_COLOR_WRAPPER : Optional[gradio.Group] = None
-BACKGROUND_REMOVER_COLOR_RED_NUMBER : Optional[gradio.Number] = None
-BACKGROUND_REMOVER_COLOR_GREEN_NUMBER : Optional[gradio.Number] = None
-BACKGROUND_REMOVER_COLOR_BLUE_NUMBER : Optional[gradio.Number] = None
-BACKGROUND_REMOVER_COLOR_ALPHA_NUMBER : Optional[gradio.Number] = None
-
-
-def render() -> None:
-	global BACKGROUND_REMOVER_MODEL_DROPDOWN
-	global BACKGROUND_REMOVER_COLOR_WRAPPER
-	global BACKGROUND_REMOVER_COLOR_RED_NUMBER
-	global BACKGROUND_REMOVER_COLOR_GREEN_NUMBER
-	global BACKGROUND_REMOVER_COLOR_BLUE_NUMBER
-	global BACKGROUND_REMOVER_COLOR_ALPHA_NUMBER
-
-	has_background_remover = 'background_remover' in state_manager.get_item('processors')
-	background_remover_color = state_manager.get_item('background_remover_color')
-	BACKGROUND_REMOVER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.background_remover'),
-		choices = background_remover_choices.background_remover_models,
-		value = state_manager.get_item('background_remover_model'),
-		visible = has_background_remover
-	)
-	with gradio.Group(visible = has_background_remover) as BACKGROUND_REMOVER_COLOR_WRAPPER:
-		with gradio.Row():
-			BACKGROUND_REMOVER_COLOR_RED_NUMBER = gradio.Number(
-				label = translator.get('uis.color_red_number', 'facefusion.processors.modules.background_remover'),
-				value = background_remover_color[0],
-				minimum = background_remover_choices.background_remover_color_range[0],
-				maximum = background_remover_choices.background_remover_color_range[-1],
-				step = calculate_int_step(background_remover_choices.background_remover_color_range)
-			)
-			BACKGROUND_REMOVER_COLOR_GREEN_NUMBER = gradio.Number(
-				label = translator.get('uis.color_green_number', 'facefusion.processors.modules.background_remover'),
-				value = background_remover_color[1],
-				minimum = background_remover_choices.background_remover_color_range[0],
-				maximum = background_remover_choices.background_remover_color_range[-1],
-				step = calculate_int_step(background_remover_choices.background_remover_color_range)
-			)
-		with gradio.Row():
-			BACKGROUND_REMOVER_COLOR_BLUE_NUMBER = gradio.Number(
-				label = translator.get('uis.color_blue_number', 'facefusion.processors.modules.background_remover'),
-				value = background_remover_color[2],
-				minimum = background_remover_choices.background_remover_color_range[0],
-				maximum = background_remover_choices.background_remover_color_range[-1],
-				step = calculate_int_step(background_remover_choices.background_remover_color_range)
-			)
-			BACKGROUND_REMOVER_COLOR_ALPHA_NUMBER = gradio.Number(
-				label = translator.get('uis.color_alpha_number', 'facefusion.processors.modules.background_remover'),
-				value = background_remover_color[3],
-				minimum = background_remover_choices.background_remover_color_range[0],
-				maximum = background_remover_choices.background_remover_color_range[-1],
-				step = calculate_int_step(background_remover_choices.background_remover_color_range)
-			)
-	register_ui_component('background_remover_model_dropdown', BACKGROUND_REMOVER_MODEL_DROPDOWN)
-	register_ui_component('background_remover_color_red_number', BACKGROUND_REMOVER_COLOR_RED_NUMBER)
-	register_ui_component('background_remover_color_green_number', BACKGROUND_REMOVER_COLOR_GREEN_NUMBER)
-	register_ui_component('background_remover_color_blue_number', BACKGROUND_REMOVER_COLOR_BLUE_NUMBER)
-	register_ui_component('background_remover_color_alpha_number', BACKGROUND_REMOVER_COLOR_ALPHA_NUMBER)
-
-
-def listen() -> None:
-	BACKGROUND_REMOVER_MODEL_DROPDOWN.change(update_background_remover_model, inputs = BACKGROUND_REMOVER_MODEL_DROPDOWN, outputs = BACKGROUND_REMOVER_MODEL_DROPDOWN)
-	background_remover_color_inputs = [ BACKGROUND_REMOVER_COLOR_RED_NUMBER, BACKGROUND_REMOVER_COLOR_GREEN_NUMBER, BACKGROUND_REMOVER_COLOR_BLUE_NUMBER, BACKGROUND_REMOVER_COLOR_ALPHA_NUMBER ]
-
-	for background_remover_color_input in background_remover_color_inputs:
-		background_remover_color_input.change(update_background_remover_color, inputs = background_remover_color_inputs)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [BACKGROUND_REMOVER_MODEL_DROPDOWN, BACKGROUND_REMOVER_COLOR_WRAPPER])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Group]:
-	has_background_remover = 'background_remover' in processors
-	return gradio.Dropdown(visible = has_background_remover), gradio.Group(visible = has_background_remover)
-
-
-def update_background_remover_model(background_remover_model : BackgroundRemoverModel) -> gradio.Dropdown:
-	background_remover_module = load_processor_module('background_remover')
-	background_remover_module.clear_inference_pool()
-	state_manager.set_item('background_remover_model', background_remover_model)
-
-	if background_remover_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('background_remover_model'))
-	return gradio.Dropdown()
-
-
-def update_background_remover_color(red : int, green : int, blue : int, alpha : int) -> None:
-	red = sanitize_int_range(red, background_remover_choices.background_remover_color_range)
-	green = sanitize_int_range(green, background_remover_choices.background_remover_color_range)
-	blue = sanitize_int_range(blue, background_remover_choices.background_remover_color_range)
-	alpha = sanitize_int_range(alpha, background_remover_choices.background_remover_color_range)
-	state_manager.set_item('background_remover_color', (red, green, blue, alpha))
diff --git a/facefusion/uis/components/benchmark.py b/facefusion/uis/components/benchmark.py
index b62d81ae..e69de29b 100644
--- a/facefusion/uis/components/benchmark.py
+++ b/facefusion/uis/components/benchmark.py
@@ -1,51 +0,0 @@
-from typing import Any, Iterator, List, Optional
-
-import gradio
-
-from facefusion import benchmarker, state_manager, translator
-
-BENCHMARK_BENCHMARKS_DATAFRAME : Optional[gradio.Dataframe] = None
-BENCHMARK_START_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global BENCHMARK_BENCHMARKS_DATAFRAME
-	global BENCHMARK_START_BUTTON
-
-	BENCHMARK_BENCHMARKS_DATAFRAME = gradio.Dataframe(
-		headers =
-		[
-			'target_path',
-			'cycle_count',
-			'average_run',
-			'fastest_run',
-			'slowest_run',
-			'relative_fps'
-		],
-		datatype =
-		[
-			'str',
-			'number',
-			'number',
-			'number',
-			'number',
-			'number'
-		],
-		show_label = False
-	)
-	BENCHMARK_START_BUTTON = gradio.Button(
-		value = translator.get('uis.start_button'),
-		variant = 'primary',
-		size = 'sm'
-	)
-
-
-def listen() -> None:
-	BENCHMARK_START_BUTTON.click(start, outputs = BENCHMARK_BENCHMARKS_DATAFRAME)
-
-
-def start() -> Iterator[List[Any]]:
-	state_manager.sync_state()
-
-	for benchmark in benchmarker.run():
-		yield [ list(benchmark_set.values()) for benchmark_set in benchmark ]
diff --git a/facefusion/uis/components/benchmark_options.py b/facefusion/uis/components/benchmark_options.py
deleted file mode 100644
index 58d1ac76..00000000
--- a/facefusion/uis/components/benchmark_options.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-from facefusion.types import BenchmarkMode, BenchmarkResolution
-
-BENCHMARK_MODE_DROPDOWN : Optional[gradio.Dropdown] = None
-BENCHMARK_RESOLUTIONS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-BENCHMARK_CYCLE_COUNT_SLIDER : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global BENCHMARK_MODE_DROPDOWN
-	global BENCHMARK_RESOLUTIONS_CHECKBOX_GROUP
-	global BENCHMARK_CYCLE_COUNT_SLIDER
-
-	BENCHMARK_MODE_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.benchmark_mode_dropdown'),
-		choices = facefusion.choices.benchmark_modes,
-		value = state_manager.get_item('benchmark_mode')
-	)
-	BENCHMARK_RESOLUTIONS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.benchmark_resolutions_checkbox_group'),
-		choices = facefusion.choices.benchmark_resolutions,
-		value = state_manager.get_item('benchmark_resolutions')
-	)
-	BENCHMARK_CYCLE_COUNT_SLIDER = gradio.Slider(
-		label = translator.get('uis.benchmark_cycle_count_slider'),
-		value = state_manager.get_item('benchmark_cycle_count'),
-		step = calculate_int_step(facefusion.choices.benchmark_cycle_count_range),
-		minimum = facefusion.choices.benchmark_cycle_count_range[0],
-		maximum = facefusion.choices.benchmark_cycle_count_range[-1]
-	)
-
-
-def listen() -> None:
-	BENCHMARK_MODE_DROPDOWN.change(update_benchmark_mode, inputs = BENCHMARK_MODE_DROPDOWN)
-	BENCHMARK_RESOLUTIONS_CHECKBOX_GROUP.change(update_benchmark_resolutions, inputs = BENCHMARK_RESOLUTIONS_CHECKBOX_GROUP)
-	BENCHMARK_CYCLE_COUNT_SLIDER.release(update_benchmark_cycle_count, inputs = BENCHMARK_CYCLE_COUNT_SLIDER)
-
-
-def update_benchmark_mode(benchmark_mode : BenchmarkMode) -> None:
-	state_manager.set_item('benchmark_mode', benchmark_mode)
-
-
-def update_benchmark_resolutions(benchmark_resolutions : List[BenchmarkResolution]) -> None:
-	state_manager.set_item('benchmark_resolutions', benchmark_resolutions)
-
-
-def update_benchmark_cycle_count(benchmark_cycle_count : int) -> None:
-	state_manager.set_item('benchmark_cycle_count', benchmark_cycle_count)
diff --git a/facefusion/uis/components/common_options.py b/facefusion/uis/components/common_options.py
deleted file mode 100644
index b4352fd3..00000000
--- a/facefusion/uis/components/common_options.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.uis import choices as uis_choices
-
-COMMON_OPTIONS_CHECKBOX_GROUP : Optional[gradio.Checkboxgroup] = None
-
-
-def render() -> None:
-	global COMMON_OPTIONS_CHECKBOX_GROUP
-
-	common_options = []
-
-	if state_manager.get_item('keep_temp'):
-		common_options.append('keep-temp')
-
-	COMMON_OPTIONS_CHECKBOX_GROUP = gradio.Checkboxgroup(
-		label = translator.get('uis.common_options_checkbox_group'),
-		choices = uis_choices.common_options,
-		value = common_options
-	)
-
-
-def listen() -> None:
-	COMMON_OPTIONS_CHECKBOX_GROUP.change(update, inputs = COMMON_OPTIONS_CHECKBOX_GROUP)
-
-
-def update(common_options : List[str]) -> None:
-	keep_temp = 'keep-temp' in common_options
-	state_manager.set_item('keep_temp', keep_temp)
diff --git a/facefusion/uis/components/deep_swapper_options.py b/facefusion/uis/components/deep_swapper_options.py
deleted file mode 100755
index 3456e820..00000000
--- a/facefusion/uis/components/deep_swapper_options.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.deep_swapper import choices as deep_swapper_choices
-from facefusion.processors.modules.deep_swapper.types import DeepSwapperModel
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-DEEP_SWAPPER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-DEEP_SWAPPER_MORPH_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global DEEP_SWAPPER_MODEL_DROPDOWN
-	global DEEP_SWAPPER_MORPH_SLIDER
-
-	has_deep_swapper = 'deep_swapper' in state_manager.get_item('processors')
-	DEEP_SWAPPER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.deep_swapper'),
-		choices = deep_swapper_choices.deep_swapper_models,
-		value = state_manager.get_item('deep_swapper_model'),
-		visible = has_deep_swapper
-	)
-	DEEP_SWAPPER_MORPH_SLIDER = gradio.Slider(
-		label = translator.get('uis.morph_slider', 'facefusion.processors.modules.deep_swapper'),
-		value = state_manager.get_item('deep_swapper_morph'),
-		step = calculate_int_step(deep_swapper_choices.deep_swapper_morph_range),
-		minimum = deep_swapper_choices.deep_swapper_morph_range[0],
-		maximum = deep_swapper_choices.deep_swapper_morph_range[-1],
-		visible = has_deep_swapper and load_processor_module('deep_swapper').get_inference_pool() and load_processor_module('deep_swapper').has_morph_input()
-	)
-	register_ui_component('deep_swapper_model_dropdown', DEEP_SWAPPER_MODEL_DROPDOWN)
-	register_ui_component('deep_swapper_morph_slider', DEEP_SWAPPER_MORPH_SLIDER)
-
-
-def listen() -> None:
-	DEEP_SWAPPER_MODEL_DROPDOWN.change(update_deep_swapper_model, inputs = DEEP_SWAPPER_MODEL_DROPDOWN, outputs = [ DEEP_SWAPPER_MODEL_DROPDOWN, DEEP_SWAPPER_MORPH_SLIDER ])
-	DEEP_SWAPPER_MORPH_SLIDER.release(update_deep_swapper_morph, inputs = DEEP_SWAPPER_MORPH_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ DEEP_SWAPPER_MODEL_DROPDOWN, DEEP_SWAPPER_MORPH_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider]:
-	has_deep_swapper = 'deep_swapper' in processors
-	return gradio.Dropdown(visible = has_deep_swapper), gradio.Slider(visible = has_deep_swapper and load_processor_module('deep_swapper').get_inference_pool() and load_processor_module('deep_swapper').has_morph_input())
-
-
-def update_deep_swapper_model(deep_swapper_model : DeepSwapperModel) -> Tuple[gradio.Dropdown, gradio.Slider]:
-	deep_swapper_module = load_processor_module('deep_swapper')
-	deep_swapper_module.clear_inference_pool()
-	state_manager.set_item('deep_swapper_model', deep_swapper_model)
-
-	if deep_swapper_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('deep_swapper_model')), gradio.Slider(visible = deep_swapper_module.has_morph_input())
-	return gradio.Dropdown(), gradio.Slider()
-
-
-def update_deep_swapper_morph(deep_swapper_morph : int) -> None:
-	state_manager.set_item('deep_swapper_morph', deep_swapper_morph)
diff --git a/facefusion/uis/components/download.py b/facefusion/uis/components/download.py
deleted file mode 100644
index feff4ad8..00000000
--- a/facefusion/uis/components/download.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer, state_manager, translator, voice_extractor
-from facefusion.filesystem import get_file_name, resolve_file_paths
-from facefusion.processors.core import get_processors_modules
-from facefusion.types import DownloadProvider
-
-DOWNLOAD_PROVIDERS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-
-
-def render() -> None:
-	global DOWNLOAD_PROVIDERS_CHECKBOX_GROUP
-
-	DOWNLOAD_PROVIDERS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.download_providers_checkbox_group'),
-		choices = facefusion.choices.download_providers,
-		value = state_manager.get_item('download_providers')
-	)
-
-
-def listen() -> None:
-	DOWNLOAD_PROVIDERS_CHECKBOX_GROUP.change(update_download_providers, inputs = DOWNLOAD_PROVIDERS_CHECKBOX_GROUP, outputs = DOWNLOAD_PROVIDERS_CHECKBOX_GROUP)
-
-
-def update_download_providers(download_providers : List[DownloadProvider]) -> gradio.CheckboxGroup:
-	common_modules =\
-	[
-		content_analyser,
-		face_classifier,
-		face_detector,
-		face_landmarker,
-		face_recognizer,
-		face_masker,
-		voice_extractor
-	]
-	available_processors = [ get_file_name(file_path) for file_path in resolve_file_paths('facefusion/processors/modules') ]
-	processor_modules = get_processors_modules(available_processors)
-
-	for module in common_modules + processor_modules:
-		if hasattr(module, 'create_static_model_set'):
-			module.create_static_model_set.cache_clear()
-
-	download_providers = download_providers or facefusion.choices.download_providers
-	state_manager.set_item('download_providers', download_providers)
-	return gradio.CheckboxGroup(value = state_manager.get_item('download_providers'))
diff --git a/facefusion/uis/components/execution.py b/facefusion/uis/components/execution.py
deleted file mode 100644
index 03275658..00000000
--- a/facefusion/uis/components/execution.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-from facefusion import content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer, state_manager, translator, voice_extractor
-from facefusion.execution import get_available_execution_providers
-from facefusion.filesystem import get_file_name, resolve_file_paths
-from facefusion.processors.core import get_processors_modules
-from facefusion.types import ExecutionProvider
-
-EXECUTION_PROVIDERS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-
-
-def render() -> None:
-	global EXECUTION_PROVIDERS_CHECKBOX_GROUP
-
-	EXECUTION_PROVIDERS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.execution_providers_checkbox_group'),
-		choices = get_available_execution_providers(),
-		value = state_manager.get_item('execution_providers')
-	)
-
-
-def listen() -> None:
-	EXECUTION_PROVIDERS_CHECKBOX_GROUP.change(update_execution_providers, inputs = EXECUTION_PROVIDERS_CHECKBOX_GROUP, outputs = EXECUTION_PROVIDERS_CHECKBOX_GROUP)
-
-
-def update_execution_providers(execution_providers : List[ExecutionProvider]) -> gradio.CheckboxGroup:
-	common_modules =\
-	[
-		content_analyser,
-		face_classifier,
-		face_detector,
-		face_landmarker,
-		face_masker,
-		face_recognizer,
-		voice_extractor
-	]
-	available_processors = [ get_file_name(file_path) for file_path in resolve_file_paths('facefusion/processors/modules') ]
-	processor_modules = get_processors_modules(available_processors)
-
-	for module in common_modules + processor_modules:
-		if hasattr(module, 'clear_inference_pool'):
-			module.clear_inference_pool()
-
-	execution_providers = execution_providers or get_available_execution_providers()
-	state_manager.set_item('execution_providers', execution_providers)
-	return gradio.CheckboxGroup(value = state_manager.get_item('execution_providers'))
diff --git a/facefusion/uis/components/execution_thread_count.py b/facefusion/uis/components/execution_thread_count.py
deleted file mode 100644
index 13ecb615..00000000
--- a/facefusion/uis/components/execution_thread_count.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from typing import Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-
-EXECUTION_THREAD_COUNT_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global EXECUTION_THREAD_COUNT_SLIDER
-
-	EXECUTION_THREAD_COUNT_SLIDER = gradio.Slider(
-		label = translator.get('uis.execution_thread_count_slider'),
-		value = state_manager.get_item('execution_thread_count'),
-		step = calculate_int_step(facefusion.choices.execution_thread_count_range),
-		minimum = facefusion.choices.execution_thread_count_range[0],
-		maximum = facefusion.choices.execution_thread_count_range[-1]
-	)
-
-
-def listen() -> None:
-	EXECUTION_THREAD_COUNT_SLIDER.release(update_execution_thread_count, inputs = EXECUTION_THREAD_COUNT_SLIDER)
-
-
-def update_execution_thread_count(execution_thread_count : float) -> None:
-	state_manager.set_item('execution_thread_count', int(execution_thread_count))
diff --git a/facefusion/uis/components/expression_restorer_options.py b/facefusion/uis/components/expression_restorer_options.py
deleted file mode 100755
index ddcff5ce..00000000
--- a/facefusion/uis/components/expression_restorer_options.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.expression_restorer import choices as expression_restorer_choices
-from facefusion.processors.modules.expression_restorer.types import ExpressionRestorerArea, ExpressionRestorerModel
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-EXPRESSION_RESTORER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-EXPRESSION_RESTORER_FACTOR_SLIDER : Optional[gradio.Slider] = None
-EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-
-
-def render() -> None:
-	global EXPRESSION_RESTORER_MODEL_DROPDOWN
-	global EXPRESSION_RESTORER_FACTOR_SLIDER
-	global EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP
-
-	has_expression_restorer = 'expression_restorer' in state_manager.get_item('processors')
-	EXPRESSION_RESTORER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.expression_restorer'),
-		choices = expression_restorer_choices.expression_restorer_models,
-		value = state_manager.get_item('expression_restorer_model'),
-		visible = has_expression_restorer
-	)
-	EXPRESSION_RESTORER_FACTOR_SLIDER = gradio.Slider(
-		label = translator.get('uis.factor_slider', 'facefusion.processors.modules.expression_restorer'),
-		value = state_manager.get_item('expression_restorer_factor'),
-		step = calculate_float_step(expression_restorer_choices.expression_restorer_factor_range),
-		minimum = expression_restorer_choices.expression_restorer_factor_range[0],
-		maximum = expression_restorer_choices.expression_restorer_factor_range[-1],
-		visible = has_expression_restorer
-	)
-	EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.areas_checkbox_group', 'facefusion.processors.modules.expression_restorer'),
-		choices = expression_restorer_choices.expression_restorer_areas,
-		value = state_manager.get_item('expression_restorer_areas'),
-		visible = has_expression_restorer
-	)
-	register_ui_component('expression_restorer_model_dropdown', EXPRESSION_RESTORER_MODEL_DROPDOWN)
-	register_ui_component('expression_restorer_factor_slider', EXPRESSION_RESTORER_FACTOR_SLIDER)
-	register_ui_component('expression_restorer_areas_checkbox_group', EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP)
-
-
-def listen() -> None:
-	EXPRESSION_RESTORER_MODEL_DROPDOWN.change(update_expression_restorer_model, inputs = EXPRESSION_RESTORER_MODEL_DROPDOWN, outputs = EXPRESSION_RESTORER_MODEL_DROPDOWN)
-	EXPRESSION_RESTORER_FACTOR_SLIDER.release(update_expression_restorer_factor, inputs = EXPRESSION_RESTORER_FACTOR_SLIDER)
-	EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP.change(update_expression_restorer_areas, inputs = EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP, outputs = EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ EXPRESSION_RESTORER_MODEL_DROPDOWN, EXPRESSION_RESTORER_FACTOR_SLIDER, EXPRESSION_RESTORER_AREAS_CHECKBOX_GROUP ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider, gradio.CheckboxGroup]:
-	has_expression_restorer = 'expression_restorer' in processors
-	return gradio.Dropdown(visible = has_expression_restorer), gradio.Slider(visible = has_expression_restorer), gradio.CheckboxGroup(visible = has_expression_restorer)
-
-
-def update_expression_restorer_model(expression_restorer_model : ExpressionRestorerModel) -> gradio.Dropdown:
-	expression_restorer_module = load_processor_module('expression_restorer')
-	expression_restorer_module.clear_inference_pool()
-	state_manager.set_item('expression_restorer_model', expression_restorer_model)
-
-	if expression_restorer_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('expression_restorer_model'))
-	return gradio.Dropdown()
-
-
-def update_expression_restorer_factor(expression_restorer_factor : float) -> None:
-	state_manager.set_item('expression_restorer_factor', int(expression_restorer_factor))
-
-
-def update_expression_restorer_areas(expression_restorer_areas : List[ExpressionRestorerArea]) -> gradio.CheckboxGroup:
-	expression_restorer_areas = expression_restorer_areas or expression_restorer_choices.expression_restorer_areas
-	state_manager.set_item('expression_restorer_areas', expression_restorer_areas)
-	return gradio.CheckboxGroup(value = state_manager.get_item('expression_restorer_areas'))
diff --git a/facefusion/uis/components/face_debugger_options.py b/facefusion/uis/components/face_debugger_options.py
deleted file mode 100755
index fa20d297..00000000
--- a/facefusion/uis/components/face_debugger_options.py
+++ /dev/null
@@ -1,40 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.processors.modules.face_debugger import choices as face_debugger_choices
-from facefusion.processors.modules.face_debugger.types import FaceDebuggerItem
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-
-
-def render() -> None:
-	global FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP
-
-	has_face_debugger = 'face_debugger' in state_manager.get_item('processors')
-	FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.items_checkbox_group', 'facefusion.processors.modules.face_debugger'),
-		choices = face_debugger_choices.face_debugger_items,
-		value = state_manager.get_item('face_debugger_items'),
-		visible = has_face_debugger
-	)
-	register_ui_component('face_debugger_items_checkbox_group', FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP)
-
-
-def listen() -> None:
-	FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP.change(update_face_debugger_items, inputs = FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = FACE_DEBUGGER_ITEMS_CHECKBOX_GROUP)
-
-
-def remote_update(processors : List[str]) -> gradio.CheckboxGroup:
-	has_face_debugger = 'face_debugger' in processors
-	return gradio.CheckboxGroup(visible = has_face_debugger)
-
-
-def update_face_debugger_items(face_debugger_items : List[FaceDebuggerItem]) -> None:
-	state_manager.set_item('face_debugger_items', face_debugger_items)
diff --git a/facefusion/uis/components/face_detector.py b/facefusion/uis/components/face_detector.py
deleted file mode 100644
index bb88d5ba..00000000
--- a/facefusion/uis/components/face_detector.py
+++ /dev/null
@@ -1,103 +0,0 @@
-from typing import Optional, Sequence, Tuple
-
-import gradio
-
-import facefusion.choices
-from facefusion import face_detector, state_manager, translator
-from facefusion.common_helper import calculate_float_step, get_last
-from facefusion.sanitizer import sanitize_int_range
-from facefusion.types import Angle, FaceDetectorModel, Score
-from facefusion.uis.core import register_ui_component
-from facefusion.uis.types import ComponentOptions
-
-FACE_DETECTOR_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_DETECTOR_SIZE_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_DETECTOR_MARGIN_SLIDER : Optional[gradio.Slider] = None
-FACE_DETECTOR_ANGLES_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-FACE_DETECTOR_SCORE_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_DETECTOR_MODEL_DROPDOWN
-	global FACE_DETECTOR_SIZE_DROPDOWN
-	global FACE_DETECTOR_MARGIN_SLIDER
-	global FACE_DETECTOR_ANGLES_CHECKBOX_GROUP
-	global FACE_DETECTOR_SCORE_SLIDER
-
-	face_detector_size_dropdown_options : ComponentOptions =\
-	{
-		'label': translator.get('uis.face_detector_size_dropdown'),
-		'value': state_manager.get_item('face_detector_size')
-	}
-	if state_manager.get_item('face_detector_size') in facefusion.choices.face_detector_set[state_manager.get_item('face_detector_model')]:
-		face_detector_size_dropdown_options['choices'] = facefusion.choices.face_detector_set[state_manager.get_item('face_detector_model')]
-	with gradio.Row():
-		FACE_DETECTOR_MODEL_DROPDOWN = gradio.Dropdown(
-			label = translator.get('uis.face_detector_model_dropdown'),
-			choices = facefusion.choices.face_detector_models,
-			value = state_manager.get_item('face_detector_model')
-		)
-		FACE_DETECTOR_SIZE_DROPDOWN = gradio.Dropdown(**face_detector_size_dropdown_options)
-	FACE_DETECTOR_MARGIN_SLIDER = gradio.Slider(
-		label = translator.get('uis.face_detector_margin_slider'),
-		value = state_manager.get_item('face_detector_margin')[0],
-		step = calculate_float_step(facefusion.choices.face_detector_margin_range),
-		minimum = facefusion.choices.face_detector_margin_range[0],
-		maximum = facefusion.choices.face_detector_margin_range[-1]
-	)
-	FACE_DETECTOR_ANGLES_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.face_detector_angles_checkbox_group'),
-		choices = facefusion.choices.face_detector_angles,
-		value = state_manager.get_item('face_detector_angles')
-	)
-	FACE_DETECTOR_SCORE_SLIDER = gradio.Slider(
-		label = translator.get('uis.face_detector_score_slider'),
-		value = state_manager.get_item('face_detector_score'),
-		step = calculate_float_step(facefusion.choices.face_detector_score_range),
-		minimum = facefusion.choices.face_detector_score_range[0],
-		maximum = facefusion.choices.face_detector_score_range[-1]
-	)
-	register_ui_component('face_detector_model_dropdown', FACE_DETECTOR_MODEL_DROPDOWN)
-	register_ui_component('face_detector_size_dropdown', FACE_DETECTOR_SIZE_DROPDOWN)
-	register_ui_component('face_detector_margin_slider', FACE_DETECTOR_MARGIN_SLIDER)
-	register_ui_component('face_detector_angles_checkbox_group', FACE_DETECTOR_ANGLES_CHECKBOX_GROUP)
-	register_ui_component('face_detector_score_slider', FACE_DETECTOR_SCORE_SLIDER)
-
-
-def listen() -> None:
-	FACE_DETECTOR_MODEL_DROPDOWN.change(update_face_detector_model, inputs = FACE_DETECTOR_MODEL_DROPDOWN, outputs = [ FACE_DETECTOR_MODEL_DROPDOWN, FACE_DETECTOR_SIZE_DROPDOWN ])
-	FACE_DETECTOR_SIZE_DROPDOWN.change(update_face_detector_size, inputs = FACE_DETECTOR_SIZE_DROPDOWN)
-	FACE_DETECTOR_MARGIN_SLIDER.release(update_face_detector_margin, inputs=FACE_DETECTOR_MARGIN_SLIDER)
-	FACE_DETECTOR_ANGLES_CHECKBOX_GROUP.change(update_face_detector_angles, inputs = FACE_DETECTOR_ANGLES_CHECKBOX_GROUP, outputs = FACE_DETECTOR_ANGLES_CHECKBOX_GROUP)
-	FACE_DETECTOR_SCORE_SLIDER.release(update_face_detector_score, inputs = FACE_DETECTOR_SCORE_SLIDER)
-
-
-def update_face_detector_model(face_detector_model : FaceDetectorModel) -> Tuple[gradio.Dropdown, gradio.Dropdown]:
-	face_detector.clear_inference_pool()
-	state_manager.set_item('face_detector_model', face_detector_model)
-
-	if face_detector.pre_check():
-		face_detector_size_choices = facefusion.choices.face_detector_set.get(state_manager.get_item('face_detector_model'))
-		state_manager.set_item('face_detector_size', get_last(face_detector_size_choices))
-		return gradio.Dropdown(value = state_manager.get_item('face_detector_model')), gradio.Dropdown(value = state_manager.get_item('face_detector_size'), choices = face_detector_size_choices)
-	return gradio.Dropdown(), gradio.Dropdown()
-
-
-def update_face_detector_size(face_detector_size : str) -> None:
-	state_manager.set_item('face_detector_size', face_detector_size)
-
-
-def update_face_detector_margin(face_detector_margin : int) -> None:
-	face_detector_margin = sanitize_int_range(face_detector_margin, facefusion.choices.face_detector_margin_range)
-	state_manager.set_item('face_detector_margin', (face_detector_margin, face_detector_margin, face_detector_margin, face_detector_margin))
-
-
-def update_face_detector_angles(face_detector_angles : Sequence[Angle]) -> gradio.CheckboxGroup:
-	face_detector_angles = face_detector_angles or facefusion.choices.face_detector_angles
-
-	state_manager.set_item('face_detector_angles', face_detector_angles)
-	return gradio.CheckboxGroup(value = state_manager.get_item('face_detector_angles'))
-
-
-def update_face_detector_score(face_detector_score : Score) -> None:
-	state_manager.set_item('face_detector_score', face_detector_score)
diff --git a/facefusion/uis/components/face_editor_options.py b/facefusion/uis/components/face_editor_options.py
deleted file mode 100755
index 59b51f84..00000000
--- a/facefusion/uis/components/face_editor_options.py
+++ /dev/null
@@ -1,272 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.face_editor import choices as face_editor_choices
-from facefusion.processors.modules.face_editor.types import FaceEditorModel
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-FACE_EDITOR_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_EDITOR_EYEBROW_DIRECTION_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_EYE_OPEN_RATIO_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_LIP_OPEN_RATIO_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_MOUTH_GRIM_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_MOUTH_POUT_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_MOUTH_PURSE_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_MOUTH_SMILE_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_HEAD_PITCH_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_HEAD_YAW_SLIDER : Optional[gradio.Slider] = None
-FACE_EDITOR_HEAD_ROLL_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_EDITOR_MODEL_DROPDOWN
-	global FACE_EDITOR_EYEBROW_DIRECTION_SLIDER
-	global FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER
-	global FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER
-	global FACE_EDITOR_EYE_OPEN_RATIO_SLIDER
-	global FACE_EDITOR_LIP_OPEN_RATIO_SLIDER
-	global FACE_EDITOR_MOUTH_GRIM_SLIDER
-	global FACE_EDITOR_MOUTH_POUT_SLIDER
-	global FACE_EDITOR_MOUTH_PURSE_SLIDER
-	global FACE_EDITOR_MOUTH_SMILE_SLIDER
-	global FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER
-	global FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER
-	global FACE_EDITOR_HEAD_PITCH_SLIDER
-	global FACE_EDITOR_HEAD_YAW_SLIDER
-	global FACE_EDITOR_HEAD_ROLL_SLIDER
-
-	has_face_editor = 'face_editor' in state_manager.get_item('processors')
-	FACE_EDITOR_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.face_editor'),
-		choices = face_editor_choices.face_editor_models,
-		value = state_manager.get_item('face_editor_model'),
-		visible = has_face_editor
-	)
-	FACE_EDITOR_EYEBROW_DIRECTION_SLIDER = gradio.Slider(
-		label = translator.get('uis.eyebrow_direction_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_eyebrow_direction'),
-		step = calculate_float_step(face_editor_choices.face_editor_eyebrow_direction_range),
-		minimum = face_editor_choices.face_editor_eyebrow_direction_range[0],
-		maximum = face_editor_choices.face_editor_eyebrow_direction_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER = gradio.Slider(
-		label = translator.get('uis.eye_gaze_horizontal_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_eye_gaze_horizontal'),
-		step = calculate_float_step(face_editor_choices.face_editor_eye_gaze_horizontal_range),
-		minimum = face_editor_choices.face_editor_eye_gaze_horizontal_range[0],
-		maximum = face_editor_choices.face_editor_eye_gaze_horizontal_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER = gradio.Slider(
-		label = translator.get('uis.eye_gaze_vertical_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_eye_gaze_vertical'),
-		step = calculate_float_step(face_editor_choices.face_editor_eye_gaze_vertical_range),
-		minimum = face_editor_choices.face_editor_eye_gaze_vertical_range[0],
-		maximum = face_editor_choices.face_editor_eye_gaze_vertical_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_EYE_OPEN_RATIO_SLIDER = gradio.Slider(
-		label = translator.get('uis.eye_open_ratio_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_eye_open_ratio'),
-		step = calculate_float_step(face_editor_choices.face_editor_eye_open_ratio_range),
-		minimum = face_editor_choices.face_editor_eye_open_ratio_range[0],
-		maximum = face_editor_choices.face_editor_eye_open_ratio_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_LIP_OPEN_RATIO_SLIDER = gradio.Slider(
-		label = translator.get('uis.lip_open_ratio_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_lip_open_ratio'),
-		step = calculate_float_step(face_editor_choices.face_editor_lip_open_ratio_range),
-		minimum = face_editor_choices.face_editor_lip_open_ratio_range[0],
-		maximum = face_editor_choices.face_editor_lip_open_ratio_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_MOUTH_GRIM_SLIDER = gradio.Slider(
-		label = translator.get('uis.mouth_grim_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_mouth_grim'),
-		step = calculate_float_step(face_editor_choices.face_editor_mouth_grim_range),
-		minimum = face_editor_choices.face_editor_mouth_grim_range[0],
-		maximum = face_editor_choices.face_editor_mouth_grim_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_MOUTH_POUT_SLIDER = gradio.Slider(
-		label = translator.get('uis.mouth_pout_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_mouth_pout'),
-		step = calculate_float_step(face_editor_choices.face_editor_mouth_pout_range),
-		minimum = face_editor_choices.face_editor_mouth_pout_range[0],
-		maximum = face_editor_choices.face_editor_mouth_pout_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_MOUTH_PURSE_SLIDER = gradio.Slider(
-		label = translator.get('uis.mouth_purse_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_mouth_purse'),
-		step = calculate_float_step(face_editor_choices.face_editor_mouth_purse_range),
-		minimum = face_editor_choices.face_editor_mouth_purse_range[0],
-		maximum = face_editor_choices.face_editor_mouth_purse_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_MOUTH_SMILE_SLIDER = gradio.Slider(
-		label = translator.get('uis.mouth_smile_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_mouth_smile'),
-		step = calculate_float_step(face_editor_choices.face_editor_mouth_smile_range),
-		minimum = face_editor_choices.face_editor_mouth_smile_range[0],
-		maximum = face_editor_choices.face_editor_mouth_smile_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER = gradio.Slider(
-		label = translator.get('uis.mouth_position_horizontal_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_mouth_position_horizontal'),
-		step = calculate_float_step(face_editor_choices.face_editor_mouth_position_horizontal_range),
-		minimum = face_editor_choices.face_editor_mouth_position_horizontal_range[0],
-		maximum = face_editor_choices.face_editor_mouth_position_horizontal_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER = gradio.Slider(
-		label = translator.get('uis.mouth_position_vertical_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_mouth_position_vertical'),
-		step = calculate_float_step(face_editor_choices.face_editor_mouth_position_vertical_range),
-		minimum = face_editor_choices.face_editor_mouth_position_vertical_range[0],
-		maximum = face_editor_choices.face_editor_mouth_position_vertical_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_HEAD_PITCH_SLIDER = gradio.Slider(
-		label = translator.get('uis.head_pitch_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_head_pitch'),
-		step = calculate_float_step(face_editor_choices.face_editor_head_pitch_range),
-		minimum = face_editor_choices.face_editor_head_pitch_range[0],
-		maximum = face_editor_choices.face_editor_head_pitch_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_HEAD_YAW_SLIDER = gradio.Slider(
-		label = translator.get('uis.head_yaw_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_head_yaw'),
-		step = calculate_float_step(face_editor_choices.face_editor_head_yaw_range),
-		minimum = face_editor_choices.face_editor_head_yaw_range[0],
-		maximum = face_editor_choices.face_editor_head_yaw_range[-1],
-		visible = has_face_editor
-	)
-	FACE_EDITOR_HEAD_ROLL_SLIDER = gradio.Slider(
-		label = translator.get('uis.head_roll_slider', 'facefusion.processors.modules.face_editor'),
-		value = state_manager.get_item('face_editor_head_roll'),
-		step = calculate_float_step(face_editor_choices.face_editor_head_roll_range),
-		minimum = face_editor_choices.face_editor_head_roll_range[0],
-		maximum = face_editor_choices.face_editor_head_roll_range[-1],
-		visible = has_face_editor
-	)
-	register_ui_component('face_editor_model_dropdown', FACE_EDITOR_MODEL_DROPDOWN)
-	register_ui_component('face_editor_eyebrow_direction_slider', FACE_EDITOR_EYEBROW_DIRECTION_SLIDER)
-	register_ui_component('face_editor_eye_gaze_horizontal_slider', FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER)
-	register_ui_component('face_editor_eye_gaze_vertical_slider', FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER)
-	register_ui_component('face_editor_eye_open_ratio_slider', FACE_EDITOR_EYE_OPEN_RATIO_SLIDER)
-	register_ui_component('face_editor_lip_open_ratio_slider', FACE_EDITOR_LIP_OPEN_RATIO_SLIDER)
-	register_ui_component('face_editor_mouth_grim_slider', FACE_EDITOR_MOUTH_GRIM_SLIDER)
-	register_ui_component('face_editor_mouth_pout_slider', FACE_EDITOR_MOUTH_POUT_SLIDER)
-	register_ui_component('face_editor_mouth_purse_slider', FACE_EDITOR_MOUTH_PURSE_SLIDER)
-	register_ui_component('face_editor_mouth_smile_slider', FACE_EDITOR_MOUTH_SMILE_SLIDER)
-	register_ui_component('face_editor_mouth_position_horizontal_slider', FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER)
-	register_ui_component('face_editor_mouth_position_vertical_slider', FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER)
-	register_ui_component('face_editor_head_pitch_slider', FACE_EDITOR_HEAD_PITCH_SLIDER)
-	register_ui_component('face_editor_head_yaw_slider', FACE_EDITOR_HEAD_YAW_SLIDER)
-	register_ui_component('face_editor_head_roll_slider', FACE_EDITOR_HEAD_ROLL_SLIDER)
-
-
-def listen() -> None:
-	FACE_EDITOR_MODEL_DROPDOWN.change(update_face_editor_model, inputs = FACE_EDITOR_MODEL_DROPDOWN, outputs = FACE_EDITOR_MODEL_DROPDOWN)
-	FACE_EDITOR_EYEBROW_DIRECTION_SLIDER.release(update_face_editor_eyebrow_direction, inputs = FACE_EDITOR_EYEBROW_DIRECTION_SLIDER)
-	FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER.release(update_face_editor_eye_gaze_horizontal, inputs = FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER)
-	FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER.release(update_face_editor_eye_gaze_vertical, inputs = FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER)
-	FACE_EDITOR_EYE_OPEN_RATIO_SLIDER.release(update_face_editor_eye_open_ratio, inputs = FACE_EDITOR_EYE_OPEN_RATIO_SLIDER)
-	FACE_EDITOR_LIP_OPEN_RATIO_SLIDER.release(update_face_editor_lip_open_ratio, inputs = FACE_EDITOR_LIP_OPEN_RATIO_SLIDER)
-	FACE_EDITOR_MOUTH_GRIM_SLIDER.release(update_face_editor_mouth_grim, inputs = FACE_EDITOR_MOUTH_GRIM_SLIDER)
-	FACE_EDITOR_MOUTH_POUT_SLIDER.release(update_face_editor_mouth_pout, inputs = FACE_EDITOR_MOUTH_POUT_SLIDER)
-	FACE_EDITOR_MOUTH_PURSE_SLIDER.release(update_face_editor_mouth_purse, inputs = FACE_EDITOR_MOUTH_PURSE_SLIDER)
-	FACE_EDITOR_MOUTH_SMILE_SLIDER.release(update_face_editor_mouth_smile, inputs = FACE_EDITOR_MOUTH_SMILE_SLIDER)
-	FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER.release(update_face_editor_mouth_position_horizontal, inputs = FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER)
-	FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER.release(update_face_editor_mouth_position_vertical, inputs = FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER)
-	FACE_EDITOR_HEAD_PITCH_SLIDER.release(update_face_editor_head_pitch, inputs = FACE_EDITOR_HEAD_PITCH_SLIDER)
-	FACE_EDITOR_HEAD_YAW_SLIDER.release(update_face_editor_head_yaw, inputs = FACE_EDITOR_HEAD_YAW_SLIDER)
-	FACE_EDITOR_HEAD_ROLL_SLIDER.release(update_face_editor_head_roll, inputs = FACE_EDITOR_HEAD_ROLL_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ FACE_EDITOR_MODEL_DROPDOWN, FACE_EDITOR_EYEBROW_DIRECTION_SLIDER, FACE_EDITOR_EYE_GAZE_HORIZONTAL_SLIDER, FACE_EDITOR_EYE_GAZE_VERTICAL_SLIDER, FACE_EDITOR_EYE_OPEN_RATIO_SLIDER, FACE_EDITOR_LIP_OPEN_RATIO_SLIDER, FACE_EDITOR_MOUTH_GRIM_SLIDER, FACE_EDITOR_MOUTH_POUT_SLIDER, FACE_EDITOR_MOUTH_PURSE_SLIDER, FACE_EDITOR_MOUTH_SMILE_SLIDER, FACE_EDITOR_MOUTH_POSITION_HORIZONTAL_SLIDER, FACE_EDITOR_MOUTH_POSITION_VERTICAL_SLIDER, FACE_EDITOR_HEAD_PITCH_SLIDER, FACE_EDITOR_HEAD_YAW_SLIDER, FACE_EDITOR_HEAD_ROLL_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider, gradio.Slider]:
-	has_face_editor = 'face_editor' in processors
-	return gradio.Dropdown(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor), gradio.Slider(visible = has_face_editor)
-
-
-def update_face_editor_model(face_editor_model : FaceEditorModel) -> gradio.Dropdown:
-	face_editor_module = load_processor_module('face_editor')
-	face_editor_module.clear_inference_pool()
-	state_manager.set_item('face_editor_model', face_editor_model)
-
-	if face_editor_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('face_editor_model'))
-	return gradio.Dropdown()
-
-
-def update_face_editor_eyebrow_direction(face_editor_eyebrow_direction : float) -> None:
-	state_manager.set_item('face_editor_eyebrow_direction', face_editor_eyebrow_direction)
-
-
-def update_face_editor_eye_gaze_horizontal(face_editor_eye_gaze_horizontal : float) -> None:
-	state_manager.set_item('face_editor_eye_gaze_horizontal', face_editor_eye_gaze_horizontal)
-
-
-def update_face_editor_eye_gaze_vertical(face_editor_eye_gaze_vertical : float) -> None:
-	state_manager.set_item('face_editor_eye_gaze_vertical', face_editor_eye_gaze_vertical)
-
-
-def update_face_editor_eye_open_ratio(face_editor_eye_open_ratio : float) -> None:
-	state_manager.set_item('face_editor_eye_open_ratio', face_editor_eye_open_ratio)
-
-
-def update_face_editor_lip_open_ratio(face_editor_lip_open_ratio : float) -> None:
-	state_manager.set_item('face_editor_lip_open_ratio', face_editor_lip_open_ratio)
-
-
-def update_face_editor_mouth_grim(face_editor_mouth_grim : float) -> None:
-	state_manager.set_item('face_editor_mouth_grim', face_editor_mouth_grim)
-
-
-def update_face_editor_mouth_pout(face_editor_mouth_pout : float) -> None:
-	state_manager.set_item('face_editor_mouth_pout', face_editor_mouth_pout)
-
-
-def update_face_editor_mouth_purse(face_editor_mouth_purse : float) -> None:
-	state_manager.set_item('face_editor_mouth_purse', face_editor_mouth_purse)
-
-
-def update_face_editor_mouth_smile(face_editor_mouth_smile : float) -> None:
-	state_manager.set_item('face_editor_mouth_smile', face_editor_mouth_smile)
-
-
-def update_face_editor_mouth_position_horizontal(face_editor_mouth_position_horizontal : float) -> None:
-	state_manager.set_item('face_editor_mouth_position_horizontal', face_editor_mouth_position_horizontal)
-
-
-def update_face_editor_mouth_position_vertical(face_editor_mouth_position_vertical : float) -> None:
-	state_manager.set_item('face_editor_mouth_position_vertical', face_editor_mouth_position_vertical)
-
-
-def update_face_editor_head_pitch(face_editor_head_pitch : float) -> None:
-	state_manager.set_item('face_editor_head_pitch', face_editor_head_pitch)
-
-
-def update_face_editor_head_yaw(face_editor_head_yaw : float) -> None:
-	state_manager.set_item('face_editor_head_yaw', face_editor_head_yaw)
-
-
-def update_face_editor_head_roll(face_editor_head_roll : float) -> None:
-	state_manager.set_item('face_editor_head_roll', face_editor_head_roll)
diff --git a/facefusion/uis/components/face_enhancer_options.py b/facefusion/uis/components/face_enhancer_options.py
deleted file mode 100755
index 301897e9..00000000
--- a/facefusion/uis/components/face_enhancer_options.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step, calculate_int_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.face_enhancer import choices as face_enhancer_choices
-from facefusion.processors.modules.face_enhancer.types import FaceEnhancerModel, FaceEnhancerWeight
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-FACE_ENHANCER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_ENHANCER_BLEND_SLIDER : Optional[gradio.Slider] = None
-FACE_ENHANCER_WEIGHT_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_ENHANCER_MODEL_DROPDOWN
-	global FACE_ENHANCER_BLEND_SLIDER
-	global FACE_ENHANCER_WEIGHT_SLIDER
-
-	has_face_enhancer = 'face_enhancer' in state_manager.get_item('processors')
-	FACE_ENHANCER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.face_enhancer'),
-		choices = face_enhancer_choices.face_enhancer_models,
-		value = state_manager.get_item('face_enhancer_model'),
-		visible = has_face_enhancer
-	)
-	FACE_ENHANCER_BLEND_SLIDER = gradio.Slider(
-		label = translator.get('uis.blend_slider', 'facefusion.processors.modules.face_enhancer'),
-		value = state_manager.get_item('face_enhancer_blend'),
-		step = calculate_int_step(face_enhancer_choices.face_enhancer_blend_range),
-		minimum = face_enhancer_choices.face_enhancer_blend_range[0],
-		maximum = face_enhancer_choices.face_enhancer_blend_range[-1],
-		visible = has_face_enhancer
-	)
-	FACE_ENHANCER_WEIGHT_SLIDER = gradio.Slider(
-		label = translator.get('uis.weight_slider', 'facefusion.processors.modules.face_enhancer'),
-		value = state_manager.get_item('face_enhancer_weight'),
-		step = calculate_float_step(face_enhancer_choices.face_enhancer_weight_range),
-		minimum = face_enhancer_choices.face_enhancer_weight_range[0],
-		maximum = face_enhancer_choices.face_enhancer_weight_range[-1],
-		visible = has_face_enhancer and load_processor_module('face_enhancer').get_inference_pool() and load_processor_module('face_enhancer').has_weight_input()
-	)
-	register_ui_component('face_enhancer_model_dropdown', FACE_ENHANCER_MODEL_DROPDOWN)
-	register_ui_component('face_enhancer_blend_slider', FACE_ENHANCER_BLEND_SLIDER)
-	register_ui_component('face_enhancer_weight_slider', FACE_ENHANCER_WEIGHT_SLIDER)
-
-
-def listen() -> None:
-	FACE_ENHANCER_MODEL_DROPDOWN.change(update_face_enhancer_model, inputs = FACE_ENHANCER_MODEL_DROPDOWN, outputs = [ FACE_ENHANCER_MODEL_DROPDOWN, FACE_ENHANCER_WEIGHT_SLIDER ])
-	FACE_ENHANCER_BLEND_SLIDER.release(update_face_enhancer_blend, inputs = FACE_ENHANCER_BLEND_SLIDER)
-	FACE_ENHANCER_WEIGHT_SLIDER.release(update_face_enhancer_weight, inputs = FACE_ENHANCER_WEIGHT_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ FACE_ENHANCER_MODEL_DROPDOWN, FACE_ENHANCER_BLEND_SLIDER, FACE_ENHANCER_WEIGHT_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider, gradio.Slider]:
-	has_face_enhancer = 'face_enhancer' in processors
-	return gradio.Dropdown(visible = has_face_enhancer), gradio.Slider(visible = has_face_enhancer), gradio.Slider(visible = has_face_enhancer and load_processor_module('face_enhancer').get_inference_pool() and load_processor_module('face_enhancer').has_weight_input())
-
-
-def update_face_enhancer_model(face_enhancer_model : FaceEnhancerModel) -> Tuple[gradio.Dropdown, gradio.Slider]:
-	face_enhancer_module = load_processor_module('face_enhancer')
-	face_enhancer_module.clear_inference_pool()
-	state_manager.set_item('face_enhancer_model', face_enhancer_model)
-
-	if face_enhancer_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('face_enhancer_model')), gradio.Slider(visible = face_enhancer_module.has_weight_input())
-	return gradio.Dropdown(), gradio.Slider()
-
-
-def update_face_enhancer_blend(face_enhancer_blend : float) -> None:
-	state_manager.set_item('face_enhancer_blend', int(face_enhancer_blend))
-
-
-def update_face_enhancer_weight(face_enhancer_weight : FaceEnhancerWeight) -> None:
-	state_manager.set_item('face_enhancer_weight', face_enhancer_weight)
-
diff --git a/facefusion/uis/components/face_landmarker.py b/facefusion/uis/components/face_landmarker.py
deleted file mode 100644
index 56ab3738..00000000
--- a/facefusion/uis/components/face_landmarker.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import face_landmarker, state_manager, translator
-from facefusion.common_helper import calculate_float_step
-from facefusion.types import FaceLandmarkerModel, Score
-from facefusion.uis.core import register_ui_component
-
-FACE_LANDMARKER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_LANDMARKER_SCORE_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_LANDMARKER_MODEL_DROPDOWN
-	global FACE_LANDMARKER_SCORE_SLIDER
-
-	FACE_LANDMARKER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.face_landmarker_model_dropdown'),
-		choices = facefusion.choices.face_landmarker_models,
-		value = state_manager.get_item('face_landmarker_model')
-	)
-	FACE_LANDMARKER_SCORE_SLIDER = gradio.Slider(
-		label = translator.get('uis.face_landmarker_score_slider'),
-		value = state_manager.get_item('face_landmarker_score'),
-		step = calculate_float_step(facefusion.choices.face_landmarker_score_range),
-		minimum = facefusion.choices.face_landmarker_score_range[0],
-		maximum = facefusion.choices.face_landmarker_score_range[-1]
-	)
-	register_ui_component('face_landmarker_model_dropdown', FACE_LANDMARKER_MODEL_DROPDOWN)
-	register_ui_component('face_landmarker_score_slider', FACE_LANDMARKER_SCORE_SLIDER)
-
-
-def listen() -> None:
-	FACE_LANDMARKER_MODEL_DROPDOWN.change(update_face_landmarker_model, inputs = FACE_LANDMARKER_MODEL_DROPDOWN, outputs = FACE_LANDMARKER_MODEL_DROPDOWN)
-	FACE_LANDMARKER_SCORE_SLIDER.release(update_face_landmarker_score, inputs = FACE_LANDMARKER_SCORE_SLIDER)
-
-
-def update_face_landmarker_model(face_landmarker_model : FaceLandmarkerModel) -> gradio.Dropdown:
-	face_landmarker.clear_inference_pool()
-	state_manager.set_item('face_landmarker_model', face_landmarker_model)
-
-	if face_landmarker.pre_check():
-		gradio.Dropdown(value = state_manager.get_item('face_landmarker_model'))
-	return gradio.Dropdown()
-
-
-def update_face_landmarker_score(face_landmarker_score : Score) -> None:
-	state_manager.set_item('face_landmarker_score', face_landmarker_score)
diff --git a/facefusion/uis/components/face_masker.py b/facefusion/uis/components/face_masker.py
deleted file mode 100755
index 17be13d0..00000000
--- a/facefusion/uis/components/face_masker.py
+++ /dev/null
@@ -1,181 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-import facefusion.choices
-from facefusion import face_masker, state_manager, translator
-from facefusion.common_helper import calculate_float_step, calculate_int_step
-from facefusion.sanitizer import sanitize_int_range
-from facefusion.types import FaceMaskArea, FaceMaskRegion, FaceMaskType, FaceOccluderModel, FaceParserModel
-from facefusion.uis.core import register_ui_component
-
-FACE_OCCLUDER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_PARSER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_MASK_TYPES_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-FACE_MASK_AREAS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-FACE_MASK_REGIONS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-FACE_MASK_BOX_WRAPPER : Optional[gradio.Group] = None
-FACE_MASK_BLUR_SLIDER : Optional[gradio.Slider] = None
-FACE_MASK_PADDING_TOP_SLIDER : Optional[gradio.Slider] = None
-FACE_MASK_PADDING_RIGHT_SLIDER : Optional[gradio.Slider] = None
-FACE_MASK_PADDING_BOTTOM_SLIDER : Optional[gradio.Slider] = None
-FACE_MASK_PADDING_LEFT_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_OCCLUDER_MODEL_DROPDOWN
-	global FACE_PARSER_MODEL_DROPDOWN
-	global FACE_MASK_TYPES_CHECKBOX_GROUP
-	global FACE_MASK_AREAS_CHECKBOX_GROUP
-	global FACE_MASK_REGIONS_CHECKBOX_GROUP
-	global FACE_MASK_BOX_WRAPPER
-	global FACE_MASK_BLUR_SLIDER
-	global FACE_MASK_PADDING_TOP_SLIDER
-	global FACE_MASK_PADDING_RIGHT_SLIDER
-	global FACE_MASK_PADDING_BOTTOM_SLIDER
-	global FACE_MASK_PADDING_LEFT_SLIDER
-
-	has_box_mask = 'box' in state_manager.get_item('face_mask_types')
-	has_region_mask = 'region' in state_manager.get_item('face_mask_types')
-	has_area_mask = 'area' in state_manager.get_item('face_mask_types')
-	with gradio.Row():
-		FACE_OCCLUDER_MODEL_DROPDOWN = gradio.Dropdown(
-			label = translator.get('uis.face_occluder_model_dropdown'),
-			choices = facefusion.choices.face_occluder_models,
-			value = state_manager.get_item('face_occluder_model')
-		)
-		FACE_PARSER_MODEL_DROPDOWN = gradio.Dropdown(
-			label = translator.get('uis.face_parser_model_dropdown'),
-			choices = facefusion.choices.face_parser_models,
-			value = state_manager.get_item('face_parser_model')
-		)
-	FACE_MASK_TYPES_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.face_mask_types_checkbox_group'),
-		choices = facefusion.choices.face_mask_types,
-		value = state_manager.get_item('face_mask_types')
-	)
-	FACE_MASK_AREAS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.face_mask_areas_checkbox_group'),
-		choices = facefusion.choices.face_mask_areas,
-		value = state_manager.get_item('face_mask_areas'),
-		visible = has_area_mask
-	)
-	FACE_MASK_REGIONS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.face_mask_regions_checkbox_group'),
-		choices = facefusion.choices.face_mask_regions,
-		value = state_manager.get_item('face_mask_regions'),
-		visible = has_region_mask
-	)
-	FACE_MASK_BLUR_SLIDER = gradio.Slider(
-		label = translator.get('uis.face_mask_blur_slider'),
-		step = calculate_float_step(facefusion.choices.face_mask_blur_range),
-		minimum = facefusion.choices.face_mask_blur_range[0],
-		maximum = facefusion.choices.face_mask_blur_range[-1],
-		value = state_manager.get_item('face_mask_blur'),
-		visible = has_box_mask
-	)
-	with gradio.Group(visible = has_box_mask) as FACE_MASK_BOX_WRAPPER:
-		with gradio.Row():
-			FACE_MASK_PADDING_TOP_SLIDER = gradio.Slider(
-				label = translator.get('uis.face_mask_padding_top_slider'),
-				step = calculate_int_step(facefusion.choices.face_mask_padding_range),
-				minimum = facefusion.choices.face_mask_padding_range[0],
-				maximum = facefusion.choices.face_mask_padding_range[-1],
-				value = state_manager.get_item('face_mask_padding')[0]
-			)
-			FACE_MASK_PADDING_RIGHT_SLIDER = gradio.Slider(
-				label = translator.get('uis.face_mask_padding_right_slider'),
-				step = calculate_int_step(facefusion.choices.face_mask_padding_range),
-				minimum = facefusion.choices.face_mask_padding_range[0],
-				maximum = facefusion.choices.face_mask_padding_range[-1],
-				value = state_manager.get_item('face_mask_padding')[1]
-			)
-		with gradio.Row():
-			FACE_MASK_PADDING_BOTTOM_SLIDER = gradio.Slider(
-				label = translator.get('uis.face_mask_padding_bottom_slider'),
-				step = calculate_int_step(facefusion.choices.face_mask_padding_range),
-				minimum = facefusion.choices.face_mask_padding_range[0],
-				maximum = facefusion.choices.face_mask_padding_range[-1],
-				value = state_manager.get_item('face_mask_padding')[2]
-			)
-			FACE_MASK_PADDING_LEFT_SLIDER = gradio.Slider(
-				label = translator.get('uis.face_mask_padding_left_slider'),
-				step = calculate_int_step(facefusion.choices.face_mask_padding_range),
-				minimum = facefusion.choices.face_mask_padding_range[0],
-				maximum = facefusion.choices.face_mask_padding_range[-1],
-				value = state_manager.get_item('face_mask_padding')[3]
-			)
-	register_ui_component('face_occluder_model_dropdown', FACE_OCCLUDER_MODEL_DROPDOWN)
-	register_ui_component('face_parser_model_dropdown', FACE_PARSER_MODEL_DROPDOWN)
-	register_ui_component('face_mask_types_checkbox_group', FACE_MASK_TYPES_CHECKBOX_GROUP)
-	register_ui_component('face_mask_areas_checkbox_group', FACE_MASK_AREAS_CHECKBOX_GROUP)
-	register_ui_component('face_mask_regions_checkbox_group', FACE_MASK_REGIONS_CHECKBOX_GROUP)
-	register_ui_component('face_mask_blur_slider', FACE_MASK_BLUR_SLIDER)
-	register_ui_component('face_mask_padding_top_slider', FACE_MASK_PADDING_TOP_SLIDER)
-	register_ui_component('face_mask_padding_right_slider', FACE_MASK_PADDING_RIGHT_SLIDER)
-	register_ui_component('face_mask_padding_bottom_slider', FACE_MASK_PADDING_BOTTOM_SLIDER)
-	register_ui_component('face_mask_padding_left_slider', FACE_MASK_PADDING_LEFT_SLIDER)
-
-
-def listen() -> None:
-	FACE_OCCLUDER_MODEL_DROPDOWN.change(update_face_occluder_model, inputs = FACE_OCCLUDER_MODEL_DROPDOWN)
-	FACE_PARSER_MODEL_DROPDOWN.change(update_face_parser_model, inputs = FACE_PARSER_MODEL_DROPDOWN)
-	FACE_MASK_TYPES_CHECKBOX_GROUP.change(update_face_mask_types, inputs = FACE_MASK_TYPES_CHECKBOX_GROUP, outputs = [ FACE_MASK_TYPES_CHECKBOX_GROUP, FACE_MASK_AREAS_CHECKBOX_GROUP, FACE_MASK_REGIONS_CHECKBOX_GROUP, FACE_MASK_BLUR_SLIDER, FACE_MASK_BOX_WRAPPER ])
-	FACE_MASK_AREAS_CHECKBOX_GROUP.change(update_face_mask_areas, inputs = FACE_MASK_AREAS_CHECKBOX_GROUP, outputs = FACE_MASK_AREAS_CHECKBOX_GROUP)
-	FACE_MASK_REGIONS_CHECKBOX_GROUP.change(update_face_mask_regions, inputs = FACE_MASK_REGIONS_CHECKBOX_GROUP, outputs = FACE_MASK_REGIONS_CHECKBOX_GROUP)
-	FACE_MASK_BLUR_SLIDER.release(update_face_mask_blur, inputs = FACE_MASK_BLUR_SLIDER)
-
-	face_mask_padding_sliders = [ FACE_MASK_PADDING_TOP_SLIDER, FACE_MASK_PADDING_RIGHT_SLIDER, FACE_MASK_PADDING_BOTTOM_SLIDER, FACE_MASK_PADDING_LEFT_SLIDER ]
-	for face_mask_padding_slider in face_mask_padding_sliders:
-		face_mask_padding_slider.release(update_face_mask_padding, inputs = face_mask_padding_sliders)
-
-
-def update_face_occluder_model(face_occluder_model : FaceOccluderModel) -> gradio.Dropdown:
-	face_masker.clear_inference_pool()
-	state_manager.set_item('face_occluder_model', face_occluder_model)
-
-	if face_masker.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('face_occluder_model'))
-	return gradio.Dropdown()
-
-
-def update_face_parser_model(face_parser_model : FaceParserModel) -> gradio.Dropdown:
-	face_masker.clear_inference_pool()
-	state_manager.set_item('face_parser_model', face_parser_model)
-
-	if face_masker.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('face_parser_model'))
-	return gradio.Dropdown()
-
-
-def update_face_mask_types(face_mask_types : List[FaceMaskType]) -> Tuple[gradio.CheckboxGroup, gradio.CheckboxGroup, gradio.CheckboxGroup, gradio.Slider, gradio.Group]:
-	face_mask_types = face_mask_types or facefusion.choices.face_mask_types
-	state_manager.set_item('face_mask_types', face_mask_types)
-	has_box_mask = 'box' in face_mask_types
-	has_area_mask = 'area' in face_mask_types
-	has_region_mask = 'region' in face_mask_types
-	return gradio.CheckboxGroup(value = state_manager.get_item('face_mask_types')), gradio.CheckboxGroup(visible = has_area_mask), gradio.CheckboxGroup(visible = has_region_mask), gradio.Slider(visible = has_box_mask), gradio.Group(visible = has_box_mask)
-
-
-def update_face_mask_areas(face_mask_areas : List[FaceMaskArea]) -> gradio.CheckboxGroup:
-	face_mask_areas = face_mask_areas or facefusion.choices.face_mask_areas
-	state_manager.set_item('face_mask_areas', face_mask_areas)
-	return gradio.CheckboxGroup(value = state_manager.get_item('face_mask_areas'))
-
-
-def update_face_mask_regions(face_mask_regions : List[FaceMaskRegion]) -> gradio.CheckboxGroup:
-	face_mask_regions = face_mask_regions or facefusion.choices.face_mask_regions
-	state_manager.set_item('face_mask_regions', face_mask_regions)
-	return gradio.CheckboxGroup(value = state_manager.get_item('face_mask_regions'))
-
-
-def update_face_mask_blur(face_mask_blur : float) -> None:
-	state_manager.set_item('face_mask_blur', face_mask_blur)
-
-
-def update_face_mask_padding(face_mask_padding_top : float, face_mask_padding_right : float, face_mask_padding_bottom : float, face_mask_padding_left : float) -> None:
-	face_mask_padding_top = sanitize_int_range(int(face_mask_padding_top), facefusion.choices.face_mask_padding_range)
-	face_mask_padding_right = sanitize_int_range(int(face_mask_padding_right), facefusion.choices.face_mask_padding_range)
-	face_mask_padding_bottom = sanitize_int_range(int(face_mask_padding_bottom), facefusion.choices.face_mask_padding_range)
-	face_mask_padding_left = sanitize_int_range(int(face_mask_padding_left), facefusion.choices.face_mask_padding_range)
-	state_manager.set_item('face_mask_padding', (face_mask_padding_top, face_mask_padding_right, face_mask_padding_bottom, face_mask_padding_left))
diff --git a/facefusion/uis/components/face_selector.py b/facefusion/uis/components/face_selector.py
deleted file mode 100644
index 6a98e7f9..00000000
--- a/facefusion/uis/components/face_selector.py
+++ /dev/null
@@ -1,231 +0,0 @@
-from typing import List, Optional, Tuple
-
-import cv2
-import gradio
-from gradio_rangeslider import RangeSlider
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step, calculate_int_step
-from facefusion.face_analyser import get_many_faces
-from facefusion.face_selector import sort_and_filter_faces
-from facefusion.face_store import clear_static_faces
-from facefusion.filesystem import is_image, is_video
-from facefusion.types import FaceSelectorMode, FaceSelectorOrder, Gender, Race, VisionFrame
-from facefusion.uis.core import get_ui_component, get_ui_components, register_ui_component
-from facefusion.uis.types import ComponentOptions
-from facefusion.uis.ui_helper import convert_str_none
-from facefusion.vision import fit_cover_frame, read_static_image, read_video_frame
-
-FACE_SELECTOR_MODE_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_SELECTOR_ORDER_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_SELECTOR_GENDER_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_SELECTOR_RACE_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_SELECTOR_AGE_RANGE_SLIDER : Optional[RangeSlider] = None
-REFERENCE_FACE_POSITION_GALLERY : Optional[gradio.Gallery] = None
-REFERENCE_FACE_DISTANCE_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_SELECTOR_MODE_DROPDOWN
-	global FACE_SELECTOR_ORDER_DROPDOWN
-	global FACE_SELECTOR_GENDER_DROPDOWN
-	global FACE_SELECTOR_RACE_DROPDOWN
-	global FACE_SELECTOR_AGE_RANGE_SLIDER
-	global REFERENCE_FACE_POSITION_GALLERY
-	global REFERENCE_FACE_DISTANCE_SLIDER
-
-	reference_face_gallery_options : ComponentOptions =\
-	{
-		'label': translator.get('uis.reference_face_gallery'),
-		'object_fit': 'cover',
-		'columns': 7,
-		'allow_preview': False,
-		'elem_classes': 'box-face-selector',
-		'visible': 'reference' in state_manager.get_item('face_selector_mode')
-	}
-	if is_image(state_manager.get_item('target_path')):
-		target_vision_frame = read_static_image(state_manager.get_item('target_path'))
-		reference_face_gallery_options['value'] = extract_gallery_frames(target_vision_frame)
-	if is_video(state_manager.get_item('target_path')):
-		target_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
-		reference_face_gallery_options['value'] = extract_gallery_frames(target_vision_frame)
-	FACE_SELECTOR_MODE_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.face_selector_mode_dropdown'),
-		choices = facefusion.choices.face_selector_modes,
-		value = state_manager.get_item('face_selector_mode')
-	)
-	REFERENCE_FACE_POSITION_GALLERY = gradio.Gallery(**reference_face_gallery_options)
-	with gradio.Group():
-		with gradio.Row():
-			FACE_SELECTOR_ORDER_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.face_selector_order_dropdown'),
-				choices = facefusion.choices.face_selector_orders,
-				value = state_manager.get_item('face_selector_order')
-			)
-			FACE_SELECTOR_GENDER_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.face_selector_gender_dropdown'),
-				choices = [ 'none' ] + facefusion.choices.face_selector_genders,
-				value = state_manager.get_item('face_selector_gender') or 'none'
-			)
-			FACE_SELECTOR_RACE_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.face_selector_race_dropdown'),
-				choices = [ 'none' ] + facefusion.choices.face_selector_races,
-				value = state_manager.get_item('face_selector_race') or 'none'
-			)
-		with gradio.Row():
-			face_selector_age_start = state_manager.get_item('face_selector_age_start') or facefusion.choices.face_selector_age_range[0]
-			face_selector_age_end = state_manager.get_item('face_selector_age_end') or facefusion.choices.face_selector_age_range[-1]
-			FACE_SELECTOR_AGE_RANGE_SLIDER = RangeSlider(
-				label = translator.get('uis.face_selector_age_range_slider'),
-				minimum = facefusion.choices.face_selector_age_range[0],
-				maximum = facefusion.choices.face_selector_age_range[-1],
-				value = (face_selector_age_start, face_selector_age_end),
-				step = calculate_int_step(facefusion.choices.face_selector_age_range)
-			)
-	REFERENCE_FACE_DISTANCE_SLIDER = gradio.Slider(
-		label = translator.get('uis.reference_face_distance_slider'),
-		value = state_manager.get_item('reference_face_distance'),
-		step = calculate_float_step(facefusion.choices.reference_face_distance_range),
-		minimum = facefusion.choices.reference_face_distance_range[0],
-		maximum = facefusion.choices.reference_face_distance_range[-1],
-		visible = 'reference' in state_manager.get_item('face_selector_mode')
-	)
-	register_ui_component('face_selector_mode_dropdown', FACE_SELECTOR_MODE_DROPDOWN)
-	register_ui_component('face_selector_order_dropdown', FACE_SELECTOR_ORDER_DROPDOWN)
-	register_ui_component('face_selector_gender_dropdown', FACE_SELECTOR_GENDER_DROPDOWN)
-	register_ui_component('face_selector_race_dropdown', FACE_SELECTOR_RACE_DROPDOWN)
-	register_ui_component('face_selector_age_range_slider', FACE_SELECTOR_AGE_RANGE_SLIDER)
-	register_ui_component('reference_face_position_gallery', REFERENCE_FACE_POSITION_GALLERY)
-	register_ui_component('reference_face_distance_slider', REFERENCE_FACE_DISTANCE_SLIDER)
-
-
-def listen() -> None:
-	FACE_SELECTOR_MODE_DROPDOWN.change(update_face_selector_mode, inputs = FACE_SELECTOR_MODE_DROPDOWN, outputs = [ REFERENCE_FACE_POSITION_GALLERY, REFERENCE_FACE_DISTANCE_SLIDER ])
-	FACE_SELECTOR_ORDER_DROPDOWN.change(update_face_selector_order, inputs = FACE_SELECTOR_ORDER_DROPDOWN, outputs = REFERENCE_FACE_POSITION_GALLERY)
-	FACE_SELECTOR_GENDER_DROPDOWN.change(update_face_selector_gender, inputs = FACE_SELECTOR_GENDER_DROPDOWN, outputs = REFERENCE_FACE_POSITION_GALLERY)
-	FACE_SELECTOR_RACE_DROPDOWN.change(update_face_selector_race, inputs = FACE_SELECTOR_RACE_DROPDOWN, outputs = REFERENCE_FACE_POSITION_GALLERY)
-	FACE_SELECTOR_AGE_RANGE_SLIDER.release(update_face_selector_age_range, inputs = FACE_SELECTOR_AGE_RANGE_SLIDER, outputs = REFERENCE_FACE_POSITION_GALLERY)
-	REFERENCE_FACE_DISTANCE_SLIDER.release(update_reference_face_distance, inputs = REFERENCE_FACE_DISTANCE_SLIDER)
-
-	preview_frame_slider = get_ui_component('preview_frame_slider')
-	if preview_frame_slider:
-		REFERENCE_FACE_POSITION_GALLERY.select(update_reference_frame_number, inputs = preview_frame_slider)
-		REFERENCE_FACE_POSITION_GALLERY.select(update_reference_face_position)
-
-	for ui_component in get_ui_components(
-	[
-		'target_image',
-		'target_video'
-	]):
-		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(clear_reference_frame_number)
-			getattr(ui_component, method)(clear_reference_face_position)
-			getattr(ui_component, method)(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
-
-	for ui_component in get_ui_components(
-	[
-		'face_detector_model_dropdown',
-		'face_detector_size_dropdown',
-		'face_detector_angles_checkbox_group'
-	]):
-		ui_component.change(clear_and_update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
-
-	face_detector_score_slider = get_ui_component('face_detector_score_slider')
-	if face_detector_score_slider:
-		face_detector_score_slider.release(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
-
-	preview_frame_slider = get_ui_component('preview_frame_slider')
-	if preview_frame_slider:
-		for method in [ 'change', 'release' ]:
-			getattr(preview_frame_slider, method)(update_reference_position_gallery, inputs = preview_frame_slider, outputs = REFERENCE_FACE_POSITION_GALLERY, show_progress = 'hidden')
-
-
-def update_face_selector_mode(face_selector_mode : FaceSelectorMode) -> Tuple[gradio.Gallery, gradio.Slider]:
-	state_manager.set_item('face_selector_mode', face_selector_mode)
-	if face_selector_mode == 'many':
-		return gradio.Gallery(visible = False), gradio.Slider(visible = False)
-	if face_selector_mode == 'one':
-		return gradio.Gallery(visible = False), gradio.Slider(visible = False)
-	if face_selector_mode == 'reference':
-		return gradio.Gallery(visible = True), gradio.Slider(visible = True)
-
-
-def update_face_selector_order(face_analyser_order : FaceSelectorOrder) -> gradio.Gallery:
-	state_manager.set_item('face_selector_order', convert_str_none(face_analyser_order))
-	return update_reference_position_gallery()
-
-
-def update_face_selector_gender(face_selector_gender : Gender) -> gradio.Gallery:
-	state_manager.set_item('face_selector_gender', convert_str_none(face_selector_gender))
-	return update_reference_position_gallery()
-
-
-def update_face_selector_race(face_selector_race : Race) -> gradio.Gallery:
-	state_manager.set_item('face_selector_race', convert_str_none(face_selector_race))
-	return update_reference_position_gallery()
-
-
-def update_face_selector_age_range(face_selector_age_range : Tuple[float, float]) -> gradio.Gallery:
-	face_selector_age_start, face_selector_age_end = face_selector_age_range
-	state_manager.set_item('face_selector_age_start', int(face_selector_age_start))
-	state_manager.set_item('face_selector_age_end', int(face_selector_age_end))
-	return update_reference_position_gallery()
-
-
-def update_reference_face_position(event : gradio.SelectData) -> None:
-	state_manager.set_item('reference_face_position', event.index)
-
-
-def clear_reference_face_position() -> None:
-	state_manager.set_item('reference_face_position', 0)
-
-
-def update_reference_face_distance(reference_face_distance : float) -> None:
-	state_manager.set_item('reference_face_distance', reference_face_distance)
-
-
-def update_reference_frame_number(reference_frame_number : int = 0) -> None:
-	state_manager.set_item('reference_frame_number', reference_frame_number)
-
-
-def clear_reference_frame_number() -> None:
-	state_manager.set_item('reference_frame_number', 0)
-
-
-def clear_and_update_reference_position_gallery() -> gradio.Gallery:
-	clear_static_faces()
-	return update_reference_position_gallery()
-
-
-def update_reference_position_gallery(frame_number : int = 0) -> gradio.Gallery:
-	gallery_vision_frames = []
-	if is_image(state_manager.get_item('target_path')):
-		target_vision_frame = read_static_image(state_manager.get_item('target_path'))
-		gallery_vision_frames = extract_gallery_frames(target_vision_frame)
-	if is_video(state_manager.get_item('target_path')):
-		target_vision_frame = read_video_frame(state_manager.get_item('target_path'), frame_number)
-		gallery_vision_frames = extract_gallery_frames(target_vision_frame)
-	if gallery_vision_frames:
-		return gradio.Gallery(value = gallery_vision_frames)
-	return gradio.Gallery(value = None)
-
-
-def extract_gallery_frames(target_vision_frame : VisionFrame) -> List[VisionFrame]:
-	gallery_vision_frames = []
-	faces = get_many_faces([ target_vision_frame ])
-	faces = sort_and_filter_faces(faces)
-
-	for face in faces:
-		start_x, start_y, end_x, end_y = map(int, face.bounding_box)
-		padding_x = int((end_x - start_x) * 0.25)
-		padding_y = int((end_y - start_y) * 0.25)
-		start_x = max(0, start_x - padding_x)
-		start_y = max(0, start_y - padding_y)
-		end_x = max(0, end_x + padding_x)
-		end_y = max(0, end_y + padding_y)
-		crop_vision_frame = target_vision_frame[start_y:end_y, start_x:end_x]
-		crop_vision_frame = fit_cover_frame(crop_vision_frame, (128, 128))
-		crop_vision_frame = cv2.cvtColor(crop_vision_frame, cv2.COLOR_BGR2RGB)
-		gallery_vision_frames.append(crop_vision_frame)
-	return gallery_vision_frames
diff --git a/facefusion/uis/components/face_swapper_options.py b/facefusion/uis/components/face_swapper_options.py
deleted file mode 100755
index d67998b6..00000000
--- a/facefusion/uis/components/face_swapper_options.py
+++ /dev/null
@@ -1,84 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step, get_first
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.face_swapper import choices as face_swapper_choices
-from facefusion.processors.modules.face_swapper.types import FaceSwapperModel, FaceSwapperWeight
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-FACE_SWAPPER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_SWAPPER_PIXEL_BOOST_DROPDOWN : Optional[gradio.Dropdown] = None
-FACE_SWAPPER_WEIGHT_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FACE_SWAPPER_MODEL_DROPDOWN
-	global FACE_SWAPPER_PIXEL_BOOST_DROPDOWN
-	global FACE_SWAPPER_WEIGHT_SLIDER
-
-	has_face_swapper = 'face_swapper' in state_manager.get_item('processors')
-	FACE_SWAPPER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.face_swapper'),
-		choices = face_swapper_choices.face_swapper_models,
-		value = state_manager.get_item('face_swapper_model'),
-		visible = has_face_swapper
-	)
-	FACE_SWAPPER_PIXEL_BOOST_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.pixel_boost_dropdown', 'facefusion.processors.modules.face_swapper'),
-		choices = face_swapper_choices.face_swapper_set.get(state_manager.get_item('face_swapper_model')),
-		value = state_manager.get_item('face_swapper_pixel_boost'),
-		visible = has_face_swapper
-	)
-	FACE_SWAPPER_WEIGHT_SLIDER = gradio.Slider(
-		label = translator.get('uis.weight_slider', 'facefusion.processors.modules.face_swapper'),
-		value = state_manager.get_item('face_swapper_weight'),
-		minimum = face_swapper_choices.face_swapper_weight_range[0],
-		maximum = face_swapper_choices.face_swapper_weight_range[-1],
-		step = calculate_float_step(face_swapper_choices.face_swapper_weight_range),
-		visible = has_face_swapper and has_face_swapper_weight()
-	)
-	register_ui_component('face_swapper_model_dropdown', FACE_SWAPPER_MODEL_DROPDOWN)
-	register_ui_component('face_swapper_pixel_boost_dropdown', FACE_SWAPPER_PIXEL_BOOST_DROPDOWN)
-	register_ui_component('face_swapper_weight_slider', FACE_SWAPPER_WEIGHT_SLIDER)
-
-
-def listen() -> None:
-	FACE_SWAPPER_MODEL_DROPDOWN.change(update_face_swapper_model, inputs = FACE_SWAPPER_MODEL_DROPDOWN, outputs = [ FACE_SWAPPER_MODEL_DROPDOWN, FACE_SWAPPER_PIXEL_BOOST_DROPDOWN, FACE_SWAPPER_WEIGHT_SLIDER ])
-	FACE_SWAPPER_PIXEL_BOOST_DROPDOWN.change(update_face_swapper_pixel_boost, inputs = FACE_SWAPPER_PIXEL_BOOST_DROPDOWN)
-	FACE_SWAPPER_WEIGHT_SLIDER.change(update_face_swapper_weight, inputs = FACE_SWAPPER_WEIGHT_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ FACE_SWAPPER_MODEL_DROPDOWN, FACE_SWAPPER_PIXEL_BOOST_DROPDOWN, FACE_SWAPPER_WEIGHT_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Dropdown, gradio.Slider]:
-	has_face_swapper = 'face_swapper' in processors
-	return gradio.Dropdown(visible = has_face_swapper), gradio.Dropdown(visible = has_face_swapper), gradio.Slider(visible = has_face_swapper)
-
-
-def update_face_swapper_model(face_swapper_model : FaceSwapperModel) -> Tuple[gradio.Dropdown, gradio.Dropdown, gradio.Slider]:
-	face_swapper_module = load_processor_module('face_swapper')
-	face_swapper_module.clear_inference_pool()
-	state_manager.set_item('face_swapper_model', face_swapper_model)
-
-	if face_swapper_module.pre_check():
-		face_swapper_pixel_boost_dropdown_choices = face_swapper_choices.face_swapper_set.get(state_manager.get_item('face_swapper_model'))
-		state_manager.set_item('face_swapper_pixel_boost', get_first(face_swapper_pixel_boost_dropdown_choices))
-		return gradio.Dropdown(value = state_manager.get_item('face_swapper_model')), gradio.Dropdown(value = state_manager.get_item('face_swapper_pixel_boost'), choices = face_swapper_pixel_boost_dropdown_choices), gradio.Slider(visible = has_face_swapper_weight())
-	return gradio.Dropdown(), gradio.Dropdown(), gradio.Slider()
-
-
-def update_face_swapper_pixel_boost(face_swapper_pixel_boost : str) -> None:
-	state_manager.set_item('face_swapper_pixel_boost', face_swapper_pixel_boost)
-
-
-def update_face_swapper_weight(face_swapper_weight : FaceSwapperWeight) -> None:
-	state_manager.set_item('face_swapper_weight', face_swapper_weight)
-
-
-def has_face_swapper_weight() -> bool:
-	return state_manager.get_item('face_swapper_model') in [ 'ghost_1_256', 'ghost_2_256', 'ghost_3_256', 'hififace_unofficial_256', 'hyperswap_1a_256', 'hyperswap_1b_256', 'hyperswap_1c_256', 'inswapper_128', 'inswapper_128_fp16', 'simswap_256', 'simswap_unofficial_512' ]
diff --git a/facefusion/uis/components/frame_colorizer_options.py b/facefusion/uis/components/frame_colorizer_options.py
deleted file mode 100755
index e9872640..00000000
--- a/facefusion/uis/components/frame_colorizer_options.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.frame_colorizer import choices as frame_colorizer_choices
-from facefusion.processors.modules.frame_colorizer.types import FrameColorizerModel
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-FRAME_COLORIZER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FRAME_COLORIZER_SIZE_DROPDOWN : Optional[gradio.Dropdown] = None
-FRAME_COLORIZER_BLEND_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FRAME_COLORIZER_MODEL_DROPDOWN
-	global FRAME_COLORIZER_SIZE_DROPDOWN
-	global FRAME_COLORIZER_BLEND_SLIDER
-
-	has_frame_colorizer = 'frame_colorizer' in state_manager.get_item('processors')
-	FRAME_COLORIZER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.frame_colorizer'),
-		choices = frame_colorizer_choices.frame_colorizer_models,
-		value = state_manager.get_item('frame_colorizer_model'),
-		visible = has_frame_colorizer
-	)
-	FRAME_COLORIZER_SIZE_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.size_dropdown', 'facefusion.processors.modules.frame_colorizer'),
-		choices = frame_colorizer_choices.frame_colorizer_sizes,
-		value = state_manager.get_item('frame_colorizer_size'),
-		visible = has_frame_colorizer
-	)
-	FRAME_COLORIZER_BLEND_SLIDER = gradio.Slider(
-		label = translator.get('uis.blend_slider', 'facefusion.processors.modules.frame_colorizer'),
-		value = state_manager.get_item('frame_colorizer_blend'),
-		step = calculate_int_step(frame_colorizer_choices.frame_colorizer_blend_range),
-		minimum = frame_colorizer_choices.frame_colorizer_blend_range[0],
-		maximum = frame_colorizer_choices.frame_colorizer_blend_range[-1],
-		visible = has_frame_colorizer
-	)
-	register_ui_component('frame_colorizer_model_dropdown', FRAME_COLORIZER_MODEL_DROPDOWN)
-	register_ui_component('frame_colorizer_size_dropdown', FRAME_COLORIZER_SIZE_DROPDOWN)
-	register_ui_component('frame_colorizer_blend_slider', FRAME_COLORIZER_BLEND_SLIDER)
-
-
-def listen() -> None:
-	FRAME_COLORIZER_MODEL_DROPDOWN.change(update_frame_colorizer_model, inputs = FRAME_COLORIZER_MODEL_DROPDOWN, outputs = FRAME_COLORIZER_MODEL_DROPDOWN)
-	FRAME_COLORIZER_SIZE_DROPDOWN.change(update_frame_colorizer_size, inputs = FRAME_COLORIZER_SIZE_DROPDOWN)
-	FRAME_COLORIZER_BLEND_SLIDER.release(update_frame_colorizer_blend, inputs = FRAME_COLORIZER_BLEND_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ FRAME_COLORIZER_MODEL_DROPDOWN, FRAME_COLORIZER_BLEND_SLIDER, FRAME_COLORIZER_SIZE_DROPDOWN ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider, gradio.Dropdown]:
-	has_frame_colorizer = 'frame_colorizer' in processors
-	return gradio.Dropdown(visible = has_frame_colorizer), gradio.Slider(visible = has_frame_colorizer), gradio.Dropdown(visible = has_frame_colorizer)
-
-
-def update_frame_colorizer_model(frame_colorizer_model : FrameColorizerModel) -> gradio.Dropdown:
-	frame_colorizer_module = load_processor_module('frame_colorizer')
-	frame_colorizer_module.clear_inference_pool()
-	state_manager.set_item('frame_colorizer_model', frame_colorizer_model)
-
-	if frame_colorizer_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('frame_colorizer_model'))
-	return gradio.Dropdown()
-
-
-def update_frame_colorizer_size(frame_colorizer_size : str) -> None:
-	state_manager.set_item('frame_colorizer_size', frame_colorizer_size)
-
-
-def update_frame_colorizer_blend(frame_colorizer_blend : float) -> None:
-	state_manager.set_item('frame_colorizer_blend', int(frame_colorizer_blend))
-
-
-
diff --git a/facefusion/uis/components/frame_enhancer_options.py b/facefusion/uis/components/frame_enhancer_options.py
deleted file mode 100755
index 3041fce3..00000000
--- a/facefusion/uis/components/frame_enhancer_options.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.frame_enhancer import choices as frame_enhancer_choices
-from facefusion.processors.modules.frame_enhancer.types import FrameEnhancerModel
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-FRAME_ENHANCER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-FRAME_ENHANCER_BLEND_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global FRAME_ENHANCER_MODEL_DROPDOWN
-	global FRAME_ENHANCER_BLEND_SLIDER
-
-	has_frame_enhancer = 'frame_enhancer' in state_manager.get_item('processors')
-	FRAME_ENHANCER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.frame_enhancer'),
-		choices = frame_enhancer_choices.frame_enhancer_models,
-		value = state_manager.get_item('frame_enhancer_model'),
-		visible = has_frame_enhancer
-	)
-	FRAME_ENHANCER_BLEND_SLIDER = gradio.Slider(
-		label = translator.get('uis.blend_slider', 'facefusion.processors.modules.frame_enhancer'),
-		value = state_manager.get_item('frame_enhancer_blend'),
-		step = calculate_int_step(frame_enhancer_choices.frame_enhancer_blend_range),
-		minimum = frame_enhancer_choices.frame_enhancer_blend_range[0],
-		maximum = frame_enhancer_choices.frame_enhancer_blend_range[-1],
-		visible = has_frame_enhancer
-	)
-	register_ui_component('frame_enhancer_model_dropdown', FRAME_ENHANCER_MODEL_DROPDOWN)
-	register_ui_component('frame_enhancer_blend_slider', FRAME_ENHANCER_BLEND_SLIDER)
-
-
-def listen() -> None:
-	FRAME_ENHANCER_MODEL_DROPDOWN.change(update_frame_enhancer_model, inputs = FRAME_ENHANCER_MODEL_DROPDOWN, outputs = FRAME_ENHANCER_MODEL_DROPDOWN)
-	FRAME_ENHANCER_BLEND_SLIDER.release(update_frame_enhancer_blend, inputs = FRAME_ENHANCER_BLEND_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ FRAME_ENHANCER_MODEL_DROPDOWN, FRAME_ENHANCER_BLEND_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider]:
-	has_frame_enhancer = 'frame_enhancer' in processors
-	return gradio.Dropdown(visible = has_frame_enhancer), gradio.Slider(visible = has_frame_enhancer)
-
-
-def update_frame_enhancer_model(frame_enhancer_model : FrameEnhancerModel) -> gradio.Dropdown:
-	frame_enhancer_module = load_processor_module('frame_enhancer')
-	frame_enhancer_module.clear_inference_pool()
-	state_manager.set_item('frame_enhancer_model', frame_enhancer_model)
-
-	if frame_enhancer_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('frame_enhancer_model'))
-	return gradio.Dropdown()
-
-
-def update_frame_enhancer_blend(frame_enhancer_blend : float) -> None:
-	state_manager.set_item('frame_enhancer_blend', int(frame_enhancer_blend))
diff --git a/facefusion/uis/components/instant_runner.py b/facefusion/uis/components/instant_runner.py
deleted file mode 100644
index 40778444..00000000
--- a/facefusion/uis/components/instant_runner.py
+++ /dev/null
@@ -1,110 +0,0 @@
-from time import sleep
-from typing import Optional, Tuple
-
-import gradio
-
-from facefusion import process_manager, state_manager, translator
-from facefusion.args import collect_step_args
-from facefusion.core import process_step
-from facefusion.filesystem import is_directory, is_image, is_video
-from facefusion.jobs import job_helper, job_manager, job_runner, job_store
-from facefusion.temp_helper import clear_temp_directory
-from facefusion.types import Args, UiWorkflow
-from facefusion.uis.core import get_ui_component
-from facefusion.uis.ui_helper import suggest_output_path
-
-INSTANT_RUNNER_WRAPPER : Optional[gradio.Row] = None
-INSTANT_RUNNER_START_BUTTON : Optional[gradio.Button] = None
-INSTANT_RUNNER_STOP_BUTTON : Optional[gradio.Button] = None
-INSTANT_RUNNER_CLEAR_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global INSTANT_RUNNER_WRAPPER
-	global INSTANT_RUNNER_START_BUTTON
-	global INSTANT_RUNNER_STOP_BUTTON
-	global INSTANT_RUNNER_CLEAR_BUTTON
-
-	if job_manager.init_jobs(state_manager.get_item('jobs_path')):
-		is_instant_runner = state_manager.get_item('ui_workflow') == 'instant_runner'
-
-		with gradio.Row(visible = is_instant_runner) as INSTANT_RUNNER_WRAPPER:
-			INSTANT_RUNNER_START_BUTTON = gradio.Button(
-				value = translator.get('uis.start_button'),
-				variant = 'primary',
-				size = 'sm'
-			)
-			INSTANT_RUNNER_STOP_BUTTON = gradio.Button(
-				value = translator.get('uis.stop_button'),
-				variant = 'primary',
-				size = 'sm',
-				visible = False
-			)
-			INSTANT_RUNNER_CLEAR_BUTTON = gradio.Button(
-				value = translator.get('uis.clear_button'),
-				size = 'sm'
-			)
-
-
-def listen() -> None:
-	output_image = get_ui_component('output_image')
-	output_video = get_ui_component('output_video')
-	ui_workflow_dropdown = get_ui_component('ui_workflow_dropdown')
-
-	if output_image and output_video:
-		INSTANT_RUNNER_START_BUTTON.click(start, outputs = [ INSTANT_RUNNER_START_BUTTON, INSTANT_RUNNER_STOP_BUTTON ])
-		INSTANT_RUNNER_START_BUTTON.click(run, outputs = [ INSTANT_RUNNER_START_BUTTON, INSTANT_RUNNER_STOP_BUTTON, output_image, output_video ])
-		INSTANT_RUNNER_STOP_BUTTON.click(stop, outputs = [ INSTANT_RUNNER_START_BUTTON, INSTANT_RUNNER_STOP_BUTTON, output_image, output_video ])
-		INSTANT_RUNNER_CLEAR_BUTTON.click(clear, outputs = [ output_image, output_video ])
-	if ui_workflow_dropdown:
-		ui_workflow_dropdown.change(remote_update, inputs = ui_workflow_dropdown, outputs = INSTANT_RUNNER_WRAPPER)
-
-
-def remote_update(ui_workflow : UiWorkflow) -> gradio.Row:
-	is_instant_runner = ui_workflow == 'instant_runner'
-
-	return gradio.Row(visible = is_instant_runner)
-
-
-def start() -> Tuple[gradio.Button, gradio.Button]:
-	while not process_manager.is_processing():
-		sleep(0.5)
-	return gradio.Button(visible = False), gradio.Button(visible = True)
-
-
-def run() -> Tuple[gradio.Button, gradio.Button, gradio.Image, gradio.Video]:
-	step_args = collect_step_args()
-	output_path = step_args.get('output_path')
-
-	if is_directory(step_args.get('output_path')):
-		step_args['output_path'] = suggest_output_path(step_args.get('output_path'), state_manager.get_item('target_path'))
-	if job_manager.init_jobs(state_manager.get_item('jobs_path')):
-		create_and_run_job(step_args)
-		state_manager.set_item('output_path', output_path)
-	if is_image(step_args.get('output_path')):
-		return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = step_args.get('output_path'), visible = True), gradio.Video(value = None, visible = False)
-	if is_video(step_args.get('output_path')):
-		return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = None, visible = False), gradio.Video(value = step_args.get('output_path'), visible = True)
-	return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = None), gradio.Video(value = None)
-
-
-def create_and_run_job(step_args : Args) -> bool:
-	job_id = job_helper.suggest_job_id('ui')
-
-	for key in job_store.get_job_keys():
-		state_manager.sync_item(key) #type:ignore[arg-type]
-
-	return job_manager.create_job(job_id) and job_manager.add_step(job_id, step_args) and job_manager.submit_job(job_id) and job_runner.run_job(job_id, process_step)
-
-
-def stop() -> Tuple[gradio.Button, gradio.Button, gradio.Image, gradio.Video]:
-	process_manager.stop()
-	return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = None), gradio.Video(value = None)
-
-
-def clear() -> Tuple[gradio.Image, gradio.Video]:
-	while process_manager.is_processing():
-		sleep(0.5)
-	if state_manager.get_item('target_path'):
-		clear_temp_directory(state_manager.get_item('target_path'))
-	return gradio.Image(value = None), gradio.Video(value = None)
diff --git a/facefusion/uis/components/job_list.py b/facefusion/uis/components/job_list.py
deleted file mode 100644
index c42774fc..00000000
--- a/facefusion/uis/components/job_list.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import get_first
-from facefusion.jobs import job_list, job_manager
-from facefusion.types import JobStatus
-from facefusion.uis.core import get_ui_component
-
-JOB_LIST_JOBS_DATAFRAME : Optional[gradio.Dataframe] = None
-JOB_LIST_REFRESH_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global JOB_LIST_JOBS_DATAFRAME
-	global JOB_LIST_REFRESH_BUTTON
-
-	if job_manager.init_jobs(state_manager.get_item('jobs_path')):
-		job_status = get_first(facefusion.choices.job_statuses)
-		job_headers, job_contents = job_list.compose_job_list(job_status)
-
-		JOB_LIST_JOBS_DATAFRAME = gradio.Dataframe(
-			headers = job_headers,
-			value = job_contents,
-			datatype = [ 'str', 'number', 'date', 'date', 'str' ],
-			show_label = False
-		)
-		JOB_LIST_REFRESH_BUTTON = gradio.Button(
-			value = translator.get('uis.refresh_button'),
-			variant = 'primary',
-			size = 'sm'
-		)
-
-
-def listen() -> None:
-	job_list_job_status_checkbox_group = get_ui_component('job_list_job_status_checkbox_group')
-	if job_list_job_status_checkbox_group:
-		job_list_job_status_checkbox_group.change(update_job_dataframe, inputs = job_list_job_status_checkbox_group, outputs = JOB_LIST_JOBS_DATAFRAME)
-		JOB_LIST_REFRESH_BUTTON.click(update_job_dataframe, inputs = job_list_job_status_checkbox_group, outputs = JOB_LIST_JOBS_DATAFRAME)
-
-
-def update_job_dataframe(job_statuses : List[JobStatus]) -> gradio.Dataframe:
-	all_job_contents = []
-
-	for job_status in job_statuses:
-		_, job_contents = job_list.compose_job_list(job_status)
-		all_job_contents.extend(job_contents)
-	return gradio.Dataframe(value = all_job_contents)
diff --git a/facefusion/uis/components/job_list_options.py b/facefusion/uis/components/job_list_options.py
deleted file mode 100644
index 22131656..00000000
--- a/facefusion/uis/components/job_list_options.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import get_first
-from facefusion.jobs import job_manager
-from facefusion.types import JobStatus
-from facefusion.uis.core import register_ui_component
-
-JOB_LIST_JOB_STATUS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-
-
-def render() -> None:
-	global JOB_LIST_JOB_STATUS_CHECKBOX_GROUP
-
-	if job_manager.init_jobs(state_manager.get_item('jobs_path')):
-		job_status = get_first(facefusion.choices.job_statuses)
-
-		JOB_LIST_JOB_STATUS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-			label = translator.get('uis.job_list_status_checkbox_group'),
-			choices = facefusion.choices.job_statuses,
-			value = job_status
-		)
-		register_ui_component('job_list_job_status_checkbox_group', JOB_LIST_JOB_STATUS_CHECKBOX_GROUP)
-
-
-def listen() -> None:
-	JOB_LIST_JOB_STATUS_CHECKBOX_GROUP.change(update_job_status_checkbox_group, inputs = JOB_LIST_JOB_STATUS_CHECKBOX_GROUP, outputs = JOB_LIST_JOB_STATUS_CHECKBOX_GROUP)
-
-
-def update_job_status_checkbox_group(job_statuses : List[JobStatus]) -> gradio.CheckboxGroup:
-	job_statuses = job_statuses or facefusion.choices.job_statuses
-	return gradio.CheckboxGroup(value = job_statuses)
diff --git a/facefusion/uis/components/job_manager.py b/facefusion/uis/components/job_manager.py
deleted file mode 100644
index cbb51979..00000000
--- a/facefusion/uis/components/job_manager.py
+++ /dev/null
@@ -1,194 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import logger, state_manager, translator
-from facefusion.args import collect_step_args
-from facefusion.common_helper import get_first, get_last
-from facefusion.filesystem import is_directory
-from facefusion.jobs import job_manager
-from facefusion.types import UiWorkflow
-from facefusion.uis import choices as uis_choices
-from facefusion.uis.core import get_ui_component
-from facefusion.uis.types import JobManagerAction
-from facefusion.uis.ui_helper import convert_int_none, convert_str_none, suggest_output_path
-
-JOB_MANAGER_WRAPPER : Optional[gradio.Column] = None
-JOB_MANAGER_JOB_ACTION_DROPDOWN : Optional[gradio.Dropdown] = None
-JOB_MANAGER_JOB_ID_TEXTBOX : Optional[gradio.Textbox] = None
-JOB_MANAGER_JOB_ID_DROPDOWN : Optional[gradio.Dropdown] = None
-JOB_MANAGER_STEP_INDEX_DROPDOWN : Optional[gradio.Dropdown] = None
-JOB_MANAGER_APPLY_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global JOB_MANAGER_WRAPPER
-	global JOB_MANAGER_JOB_ACTION_DROPDOWN
-	global JOB_MANAGER_JOB_ID_TEXTBOX
-	global JOB_MANAGER_JOB_ID_DROPDOWN
-	global JOB_MANAGER_STEP_INDEX_DROPDOWN
-	global JOB_MANAGER_APPLY_BUTTON
-
-	if job_manager.init_jobs(state_manager.get_item('jobs_path')):
-		is_job_manager = state_manager.get_item('ui_workflow') == 'job_manager'
-		drafted_job_ids = job_manager.find_job_ids('drafted') or [ 'none' ]
-
-		with gradio.Column(visible = is_job_manager) as JOB_MANAGER_WRAPPER:
-			JOB_MANAGER_JOB_ACTION_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.job_manager_job_action_dropdown'),
-				choices = uis_choices.job_manager_actions,
-				value = get_first(uis_choices.job_manager_actions)
-			)
-			JOB_MANAGER_JOB_ID_TEXTBOX = gradio.Textbox(
-				label = translator.get('uis.job_manager_job_id_dropdown'),
-				max_lines = 1,
-				interactive = True
-			)
-			JOB_MANAGER_JOB_ID_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.job_manager_job_id_dropdown'),
-				choices = drafted_job_ids,
-				value = get_last(drafted_job_ids),
-				interactive = True,
-				visible = False
-			)
-			JOB_MANAGER_STEP_INDEX_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.job_manager_step_index_dropdown'),
-				choices = [ 'none' ],
-				value = 'none',
-				interactive = True,
-				visible = False
-			)
-			JOB_MANAGER_APPLY_BUTTON = gradio.Button(
-				value = translator.get('uis.apply_button'),
-				variant = 'primary',
-				size = 'sm'
-			)
-
-
-def listen() -> None:
-	JOB_MANAGER_JOB_ACTION_DROPDOWN.change(update, inputs = [ JOB_MANAGER_JOB_ACTION_DROPDOWN, JOB_MANAGER_JOB_ID_DROPDOWN ], outputs = [ JOB_MANAGER_JOB_ID_TEXTBOX, JOB_MANAGER_JOB_ID_DROPDOWN, JOB_MANAGER_STEP_INDEX_DROPDOWN ])
-	JOB_MANAGER_JOB_ID_DROPDOWN.change(update_step_index, inputs = JOB_MANAGER_JOB_ID_DROPDOWN, outputs = JOB_MANAGER_STEP_INDEX_DROPDOWN)
-	JOB_MANAGER_APPLY_BUTTON.click(apply, inputs = [ JOB_MANAGER_JOB_ACTION_DROPDOWN, JOB_MANAGER_JOB_ID_TEXTBOX, JOB_MANAGER_JOB_ID_DROPDOWN, JOB_MANAGER_STEP_INDEX_DROPDOWN ], outputs = [ JOB_MANAGER_JOB_ACTION_DROPDOWN, JOB_MANAGER_JOB_ID_TEXTBOX, JOB_MANAGER_JOB_ID_DROPDOWN, JOB_MANAGER_STEP_INDEX_DROPDOWN ])
-
-	ui_workflow_dropdown = get_ui_component('ui_workflow_dropdown')
-	if ui_workflow_dropdown:
-		ui_workflow_dropdown.change(remote_update, inputs = ui_workflow_dropdown, outputs = [ JOB_MANAGER_WRAPPER, JOB_MANAGER_JOB_ACTION_DROPDOWN, JOB_MANAGER_JOB_ID_TEXTBOX, JOB_MANAGER_JOB_ID_DROPDOWN, JOB_MANAGER_STEP_INDEX_DROPDOWN ])
-
-
-def remote_update(ui_workflow : UiWorkflow) -> Tuple[gradio.Row, gradio.Dropdown, gradio.Textbox, gradio.Dropdown, gradio.Dropdown]:
-	is_job_manager = ui_workflow == 'job_manager'
-	return gradio.Row(visible = is_job_manager), gradio.Dropdown(value = get_first(uis_choices.job_manager_actions)), gradio.Textbox(value = None, visible = True), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False)
-
-
-def apply(job_action : JobManagerAction, created_job_id : str, selected_job_id : str, selected_step_index : int) -> Tuple[gradio.Dropdown, gradio.Textbox, gradio.Dropdown, gradio.Dropdown]:
-	created_job_id = convert_str_none(created_job_id)
-	selected_job_id = convert_str_none(selected_job_id)
-	selected_step_index = convert_int_none(selected_step_index)
-	step_args = collect_step_args()
-	output_path = step_args.get('output_path')
-
-	if is_directory(step_args.get('output_path')):
-		step_args['output_path'] = suggest_output_path(step_args.get('output_path'), state_manager.get_item('target_path'))
-
-	if job_action == 'job-create':
-		if created_job_id and job_manager.create_job(created_job_id):
-			updated_job_ids = job_manager.find_job_ids('drafted') or [ 'none' ]
-
-			logger.info(translator.get('job_created').format(job_id = created_job_id), __name__)
-			return gradio.Dropdown(value = 'job-add-step'), gradio.Textbox(visible = False), gradio.Dropdown(value = created_job_id, choices = updated_job_ids, visible = True), gradio.Dropdown()
-		else:
-			logger.error(translator.get('job_not_created').format(job_id = created_job_id), __name__)
-
-	if job_action == 'job-submit':
-		if selected_job_id and job_manager.submit_job(selected_job_id):
-			updated_job_ids = job_manager.find_job_ids('drafted') or [ 'none' ]
-
-			logger.info(translator.get('job_submitted').format(job_id = selected_job_id), __name__)
-			return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(value = get_last(updated_job_ids), choices = updated_job_ids, visible = True), gradio.Dropdown()
-		else:
-			logger.error(translator.get('job_not_submitted').format(job_id = selected_job_id), __name__)
-
-	if job_action == 'job-delete':
-		if selected_job_id and job_manager.delete_job(selected_job_id):
-			updated_job_ids = job_manager.find_job_ids('drafted') + job_manager.find_job_ids('queued') + job_manager.find_job_ids('failed') + job_manager.find_job_ids('completed') or [ 'none' ]
-
-			logger.info(translator.get('job_deleted').format(job_id = selected_job_id), __name__)
-			return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(value = get_last(updated_job_ids), choices = updated_job_ids, visible = True), gradio.Dropdown()
-		else:
-			logger.error(translator.get('job_not_deleted').format(job_id = selected_job_id), __name__)
-
-	if job_action == 'job-add-step':
-		if selected_job_id and job_manager.add_step(selected_job_id, step_args):
-			state_manager.set_item('output_path', output_path)
-			logger.info(translator.get('job_step_added').format(job_id = selected_job_id), __name__)
-			return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(visible = True), gradio.Dropdown(visible = False)
-		else:
-			state_manager.set_item('output_path', output_path)
-			logger.error(translator.get('job_step_not_added').format(job_id = selected_job_id), __name__)
-
-	if job_action == 'job-remix-step':
-		if selected_job_id and job_manager.has_step(selected_job_id, selected_step_index) and job_manager.remix_step(selected_job_id, selected_step_index, step_args):
-			updated_step_choices = get_step_choices(selected_job_id) or [ 'none' ] #type:ignore[list-item]
-
-			state_manager.set_item('output_path', output_path)
-			logger.info(translator.get('job_remix_step_added').format(job_id = selected_job_id, step_index = selected_step_index), __name__)
-			return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(visible = True), gradio.Dropdown(value = get_last(updated_step_choices), choices = updated_step_choices, visible = True)
-		else:
-			state_manager.set_item('output_path', output_path)
-			logger.error(translator.get('job_remix_step_not_added').format(job_id = selected_job_id, step_index = selected_step_index), __name__)
-
-	if job_action == 'job-insert-step':
-		if selected_job_id and job_manager.has_step(selected_job_id, selected_step_index) and job_manager.insert_step(selected_job_id, selected_step_index, step_args):
-			updated_step_choices = get_step_choices(selected_job_id) or [ 'none' ] #type:ignore[list-item]
-
-			state_manager.set_item('output_path', output_path)
-			logger.info(translator.get('job_step_inserted').format(job_id = selected_job_id, step_index = selected_step_index), __name__)
-			return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(visible = True), gradio.Dropdown(value = get_last(updated_step_choices), choices = updated_step_choices, visible = True)
-		else:
-			state_manager.set_item('output_path', output_path)
-			logger.error(translator.get('job_step_not_inserted').format(job_id = selected_job_id, step_index = selected_step_index), __name__)
-
-	if job_action == 'job-remove-step':
-		if selected_job_id and job_manager.has_step(selected_job_id, selected_step_index) and job_manager.remove_step(selected_job_id, selected_step_index):
-			updated_step_choices = get_step_choices(selected_job_id) or [ 'none' ] #type:ignore[list-item]
-
-			logger.info(translator.get('job_step_removed').format(job_id = selected_job_id, step_index = selected_step_index), __name__)
-			return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(visible = True), gradio.Dropdown(value = get_last(updated_step_choices), choices = updated_step_choices, visible = True)
-		else:
-			logger.error(translator.get('job_step_not_removed').format(job_id = selected_job_id, step_index = selected_step_index), __name__)
-	return gradio.Dropdown(), gradio.Textbox(), gradio.Dropdown(), gradio.Dropdown()
-
-
-def get_step_choices(job_id : str) -> List[int]:
-	steps = job_manager.get_steps(job_id)
-	return [ index for index, _ in enumerate(steps) ]
-
-
-def update(job_action : JobManagerAction, selected_job_id : str) -> Tuple[gradio.Textbox, gradio.Dropdown, gradio.Dropdown]:
-	if job_action == 'job-create':
-		return gradio.Textbox(value = None, visible = True), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False)
-
-	if job_action == 'job-delete':
-		updated_job_ids = job_manager.find_job_ids('drafted') + job_manager.find_job_ids('queued') + job_manager.find_job_ids('failed') + job_manager.find_job_ids('completed') or [ 'none' ]
-		updated_job_id = selected_job_id if selected_job_id in updated_job_ids else get_last(updated_job_ids)
-
-		return gradio.Textbox(visible = False), gradio.Dropdown(value = updated_job_id, choices = updated_job_ids, visible = True), gradio.Dropdown(visible = False)
-
-	if job_action in [ 'job-submit', 'job-add-step' ]:
-		updated_job_ids = job_manager.find_job_ids('drafted') or [ 'none' ]
-		updated_job_id = selected_job_id if selected_job_id in updated_job_ids else get_last(updated_job_ids)
-
-		return gradio.Textbox(visible = False), gradio.Dropdown(value = updated_job_id, choices = updated_job_ids, visible = True), gradio.Dropdown(visible = False)
-
-	if job_action in [ 'job-remix-step', 'job-insert-step', 'job-remove-step' ]:
-		updated_job_ids = job_manager.find_job_ids('drafted') or [ 'none' ]
-		updated_job_id = selected_job_id if selected_job_id in updated_job_ids else get_last(updated_job_ids)
-		updated_step_choices = get_step_choices(updated_job_id) or [ 'none' ] #type:ignore[list-item]
-
-		return gradio.Textbox(visible = False), gradio.Dropdown(value = updated_job_id, choices = updated_job_ids, visible = True), gradio.Dropdown(value = get_last(updated_step_choices), choices = updated_step_choices, visible = True)
-	return gradio.Textbox(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False)
-
-
-def update_step_index(job_id : str) -> gradio.Dropdown:
-	step_choices = get_step_choices(job_id) or [ 'none' ] #type:ignore[list-item]
-	return gradio.Dropdown(value = get_last(step_choices), choices = step_choices)
diff --git a/facefusion/uis/components/job_runner.py b/facefusion/uis/components/job_runner.py
deleted file mode 100644
index dc3d7715..00000000
--- a/facefusion/uis/components/job_runner.py
+++ /dev/null
@@ -1,142 +0,0 @@
-from time import sleep
-from typing import Optional, Tuple
-
-import gradio
-
-from facefusion import logger, process_manager, state_manager, translator
-from facefusion.common_helper import get_first, get_last
-from facefusion.core import process_step
-from facefusion.jobs import job_manager, job_runner, job_store
-from facefusion.types import UiWorkflow
-from facefusion.uis import choices as uis_choices
-from facefusion.uis.core import get_ui_component
-from facefusion.uis.types import JobRunnerAction
-from facefusion.uis.ui_helper import convert_str_none
-
-JOB_RUNNER_WRAPPER : Optional[gradio.Column] = None
-JOB_RUNNER_JOB_ACTION_DROPDOWN : Optional[gradio.Dropdown] = None
-JOB_RUNNER_JOB_ID_DROPDOWN : Optional[gradio.Dropdown] = None
-JOB_RUNNER_START_BUTTON : Optional[gradio.Button] = None
-JOB_RUNNER_STOP_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global JOB_RUNNER_WRAPPER
-	global JOB_RUNNER_JOB_ACTION_DROPDOWN
-	global JOB_RUNNER_JOB_ID_DROPDOWN
-	global JOB_RUNNER_START_BUTTON
-	global JOB_RUNNER_STOP_BUTTON
-
-	if job_manager.init_jobs(state_manager.get_item('jobs_path')):
-		is_job_runner = state_manager.get_item('ui_workflow') == 'job_runner'
-		queued_job_ids = job_manager.find_job_ids('queued') or [ 'none' ]
-
-		with gradio.Column(visible = is_job_runner) as JOB_RUNNER_WRAPPER:
-			JOB_RUNNER_JOB_ACTION_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.job_runner_job_action_dropdown'),
-				choices = uis_choices.job_runner_actions,
-				value = get_first(uis_choices.job_runner_actions)
-			)
-			JOB_RUNNER_JOB_ID_DROPDOWN = gradio.Dropdown(
-				label = translator.get('uis.job_runner_job_id_dropdown'),
-				choices = queued_job_ids,
-				value = get_last(queued_job_ids)
-			)
-			with gradio.Row():
-				JOB_RUNNER_START_BUTTON = gradio.Button(
-					value = translator.get('uis.start_button'),
-					variant = 'primary',
-					size = 'sm'
-				)
-				JOB_RUNNER_STOP_BUTTON = gradio.Button(
-					value = translator.get('uis.stop_button'),
-					variant = 'primary',
-					size = 'sm',
-					visible = False
-				)
-
-
-def listen() -> None:
-	JOB_RUNNER_JOB_ACTION_DROPDOWN.change(update_job_action, inputs = JOB_RUNNER_JOB_ACTION_DROPDOWN, outputs = JOB_RUNNER_JOB_ID_DROPDOWN)
-	JOB_RUNNER_START_BUTTON.click(start, outputs = [ JOB_RUNNER_START_BUTTON, JOB_RUNNER_STOP_BUTTON ])
-	JOB_RUNNER_START_BUTTON.click(run, inputs = [ JOB_RUNNER_JOB_ACTION_DROPDOWN, JOB_RUNNER_JOB_ID_DROPDOWN ], outputs = [ JOB_RUNNER_START_BUTTON, JOB_RUNNER_STOP_BUTTON, JOB_RUNNER_JOB_ID_DROPDOWN ])
-	JOB_RUNNER_STOP_BUTTON.click(stop, outputs = [ JOB_RUNNER_START_BUTTON, JOB_RUNNER_STOP_BUTTON ])
-
-	ui_workflow_dropdown = get_ui_component('ui_workflow_dropdown')
-	if ui_workflow_dropdown:
-		ui_workflow_dropdown.change(remote_update, inputs = ui_workflow_dropdown, outputs = [ JOB_RUNNER_WRAPPER, JOB_RUNNER_JOB_ACTION_DROPDOWN, JOB_RUNNER_JOB_ID_DROPDOWN ])
-
-
-def remote_update(ui_workflow : UiWorkflow) -> Tuple[gradio.Row, gradio.Dropdown, gradio.Dropdown]:
-	is_job_runner = ui_workflow == 'job_runner'
-	queued_job_ids = job_manager.find_job_ids('queued') or [ 'none' ]
-
-	return gradio.Row(visible = is_job_runner), gradio.Dropdown(value = get_first(uis_choices.job_runner_actions), choices = uis_choices.job_runner_actions), gradio.Dropdown(value = get_last(queued_job_ids), choices = queued_job_ids)
-
-
-def start() -> Tuple[gradio.Button, gradio.Button]:
-	while not process_manager.is_processing():
-		sleep(0.5)
-	return gradio.Button(visible = False), gradio.Button(visible = True)
-
-
-def run(job_action : JobRunnerAction, job_id : str) -> Tuple[gradio.Button, gradio.Button, gradio.Dropdown]:
-	job_id = convert_str_none(job_id)
-
-	for key in job_store.get_job_keys():
-		state_manager.sync_item(key) #type:ignore[arg-type]
-
-	if job_action == 'job-run':
-		logger.info(translator.get('running_job').format(job_id = job_id), __name__)
-		if job_id and job_runner.run_job(job_id, process_step):
-			logger.info(translator.get('processing_job_succeeded').format(job_id = job_id), __name__)
-		else:
-			logger.info(translator.get('processing_job_failed').format(job_id = job_id), __name__)
-		updated_job_ids = job_manager.find_job_ids('queued') or [ 'none' ]
-
-		return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Dropdown(value = get_last(updated_job_ids), choices = updated_job_ids)
-
-	if job_action == 'job-run-all':
-		logger.info(translator.get('running_jobs'), __name__)
-		halt_on_error = False
-		if job_runner.run_jobs(process_step, halt_on_error):
-			logger.info(translator.get('processing_jobs_succeeded'), __name__)
-		else:
-			logger.info(translator.get('processing_jobs_failed'), __name__)
-
-	if job_action == 'job-retry':
-		logger.info(translator.get('retrying_job').format(job_id = job_id), __name__)
-		if job_id and job_runner.retry_job(job_id, process_step):
-			logger.info(translator.get('processing_job_succeeded').format(job_id = job_id), __name__)
-		else:
-			logger.info(translator.get('processing_job_failed').format(job_id = job_id), __name__)
-		updated_job_ids = job_manager.find_job_ids('failed') or [ 'none' ]
-
-		return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Dropdown(value = get_last(updated_job_ids), choices = updated_job_ids)
-
-	if job_action == 'job-retry-all':
-		logger.info(translator.get('retrying_jobs'), __name__)
-		halt_on_error = False
-		if job_runner.retry_jobs(process_step, halt_on_error):
-			logger.info(translator.get('processing_jobs_succeeded'), __name__)
-		else:
-			logger.info(translator.get('processing_jobs_failed'), __name__)
-	return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Dropdown()
-
-
-def stop() -> Tuple[gradio.Button, gradio.Button]:
-	process_manager.stop()
-	return gradio.Button(visible = True), gradio.Button(visible = False)
-
-
-def update_job_action(job_action : JobRunnerAction) -> gradio.Dropdown:
-	if job_action == 'job-run':
-		updated_job_ids = job_manager.find_job_ids('queued') or [ 'none' ]
-
-		return gradio.Dropdown(value = get_last(updated_job_ids), choices = updated_job_ids, visible = True)
-
-	if job_action == 'job-retry':
-		updated_job_ids = job_manager.find_job_ids('failed') or [ 'none' ]
-
-		return gradio.Dropdown(value = get_last(updated_job_ids), choices = updated_job_ids, visible = True)
-	return gradio.Dropdown(visible = False)
diff --git a/facefusion/uis/components/lip_syncer_options.py b/facefusion/uis/components/lip_syncer_options.py
deleted file mode 100755
index a673cdaf..00000000
--- a/facefusion/uis/components/lip_syncer_options.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step
-from facefusion.processors.core import load_processor_module
-from facefusion.processors.modules.lip_syncer import choices as lip_syncer_choices
-from facefusion.processors.modules.lip_syncer.types import LipSyncerModel, LipSyncerWeight
-from facefusion.uis.core import get_ui_component, register_ui_component
-
-LIP_SYNCER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-LIP_SYNCER_WEIGHT_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global LIP_SYNCER_MODEL_DROPDOWN
-	global LIP_SYNCER_WEIGHT_SLIDER
-
-	has_lip_syncer = 'lip_syncer' in state_manager.get_item('processors')
-	LIP_SYNCER_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.model_dropdown', 'facefusion.processors.modules.lip_syncer'),
-		choices = lip_syncer_choices.lip_syncer_models,
-		value = state_manager.get_item('lip_syncer_model'),
-		visible = has_lip_syncer
-	)
-	LIP_SYNCER_WEIGHT_SLIDER = gradio.Slider(
-		label = translator.get('uis.weight_slider', 'facefusion.processors.modules.lip_syncer'),
-		value = state_manager.get_item('lip_syncer_weight'),
-		step = calculate_float_step(lip_syncer_choices.lip_syncer_weight_range),
-		minimum = lip_syncer_choices.lip_syncer_weight_range[0],
-		maximum = lip_syncer_choices.lip_syncer_weight_range[-1],
-		visible = has_lip_syncer
-	)
-	register_ui_component('lip_syncer_model_dropdown', LIP_SYNCER_MODEL_DROPDOWN)
-	register_ui_component('lip_syncer_weight_slider', LIP_SYNCER_WEIGHT_SLIDER)
-
-
-def listen() -> None:
-	LIP_SYNCER_MODEL_DROPDOWN.change(update_lip_syncer_model, inputs = LIP_SYNCER_MODEL_DROPDOWN, outputs = LIP_SYNCER_MODEL_DROPDOWN)
-	LIP_SYNCER_WEIGHT_SLIDER.release(update_lip_syncer_weight, inputs = LIP_SYNCER_WEIGHT_SLIDER)
-
-	processors_checkbox_group = get_ui_component('processors_checkbox_group')
-	if processors_checkbox_group:
-		processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ LIP_SYNCER_MODEL_DROPDOWN, LIP_SYNCER_WEIGHT_SLIDER ])
-
-
-def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider]:
-	has_lip_syncer = 'lip_syncer' in processors
-	return gradio.Dropdown(visible = has_lip_syncer), gradio.Slider(visible = has_lip_syncer)
-
-
-def update_lip_syncer_model(lip_syncer_model : LipSyncerModel) -> gradio.Dropdown:
-	lip_syncer_module = load_processor_module('lip_syncer')
-	lip_syncer_module.clear_inference_pool()
-	state_manager.set_item('lip_syncer_model', lip_syncer_model)
-
-	if lip_syncer_module.pre_check():
-		return gradio.Dropdown(value = state_manager.get_item('lip_syncer_model'))
-	return gradio.Dropdown()
-
-
-def update_lip_syncer_weight(lip_syncer_weight : LipSyncerWeight) -> None:
-	state_manager.set_item('lip_syncer_weight', lip_syncer_weight)
diff --git a/facefusion/uis/components/memory.py b/facefusion/uis/components/memory.py
deleted file mode 100644
index cbb7b425..00000000
--- a/facefusion/uis/components/memory.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_int_step
-from facefusion.types import VideoMemoryStrategy
-
-VIDEO_MEMORY_STRATEGY_DROPDOWN : Optional[gradio.Dropdown] = None
-SYSTEM_MEMORY_LIMIT_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global VIDEO_MEMORY_STRATEGY_DROPDOWN
-	global SYSTEM_MEMORY_LIMIT_SLIDER
-
-	VIDEO_MEMORY_STRATEGY_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.video_memory_strategy_dropdown'),
-		choices = facefusion.choices.video_memory_strategies,
-		value = state_manager.get_item('video_memory_strategy')
-	)
-	SYSTEM_MEMORY_LIMIT_SLIDER = gradio.Slider(
-		label = translator.get('uis.system_memory_limit_slider'),
-		step = calculate_int_step(facefusion.choices.system_memory_limit_range),
-		minimum = facefusion.choices.system_memory_limit_range[0],
-		maximum = facefusion.choices.system_memory_limit_range[-1],
-		value = state_manager.get_item('system_memory_limit')
-	)
-
-
-def listen() -> None:
-	VIDEO_MEMORY_STRATEGY_DROPDOWN.change(update_video_memory_strategy, inputs = VIDEO_MEMORY_STRATEGY_DROPDOWN)
-	SYSTEM_MEMORY_LIMIT_SLIDER.release(update_system_memory_limit, inputs = SYSTEM_MEMORY_LIMIT_SLIDER)
-
-
-def update_video_memory_strategy(video_memory_strategy : VideoMemoryStrategy) -> None:
-	state_manager.set_item('video_memory_strategy', video_memory_strategy)
-
-
-def update_system_memory_limit(system_memory_limit : float) -> None:
-	state_manager.set_item('system_memory_limit', int(system_memory_limit))
diff --git a/facefusion/uis/components/output.py b/facefusion/uis/components/output.py
deleted file mode 100644
index 592c8475..00000000
--- a/facefusion/uis/components/output.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import tempfile
-from pathlib import Path
-from typing import Optional
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.uis.core import register_ui_component
-
-OUTPUT_PATH_TEXTBOX : Optional[gradio.Textbox] = None
-OUTPUT_IMAGE : Optional[gradio.Image] = None
-OUTPUT_VIDEO : Optional[gradio.Video] = None
-
-
-def render() -> None:
-	global OUTPUT_PATH_TEXTBOX
-	global OUTPUT_IMAGE
-	global OUTPUT_VIDEO
-
-	if not state_manager.get_item('output_path'):
-		documents_directory = Path.home().joinpath('Documents')
-
-		if documents_directory.exists():
-			state_manager.set_item('output_path', documents_directory)
-		else:
-			state_manager.set_item('output_path', tempfile.gettempdir())
-	OUTPUT_PATH_TEXTBOX = gradio.Textbox(
-		label = translator.get('uis.output_path_textbox'),
-		value = state_manager.get_item('output_path'),
-		max_lines = 1
-	)
-	OUTPUT_IMAGE = gradio.Image(
-		label = translator.get('uis.output_image_or_video'),
-		visible = False
-	)
-	OUTPUT_VIDEO = gradio.Video(
-		label = translator.get('uis.output_image_or_video')
-	)
-
-
-def listen() -> None:
-	OUTPUT_PATH_TEXTBOX.change(update_output_path, inputs = OUTPUT_PATH_TEXTBOX)
-	register_ui_component('output_image', OUTPUT_IMAGE)
-	register_ui_component('output_video', OUTPUT_VIDEO)
-
-
-def update_output_path(output_path : str) -> None:
-	state_manager.set_item('output_path', output_path)
diff --git a/facefusion/uis/components/output_options.py b/facefusion/uis/components/output_options.py
deleted file mode 100644
index e8d35a13..00000000
--- a/facefusion/uis/components/output_options.py
+++ /dev/null
@@ -1,184 +0,0 @@
-from typing import Optional, Tuple
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.common_helper import calculate_float_step, calculate_int_step
-from facefusion.ffmpeg import get_available_encoder_set
-from facefusion.filesystem import is_image, is_video
-from facefusion.types import AudioEncoder, Fps, Scale, VideoEncoder, VideoPreset
-from facefusion.uis.core import get_ui_components, register_ui_component
-from facefusion.vision import detect_video_fps
-
-OUTPUT_IMAGE_QUALITY_SLIDER : Optional[gradio.Slider] = None
-OUTPUT_IMAGE_SCALE_SLIDER : Optional[gradio.Slider] = None
-OUTPUT_AUDIO_ENCODER_DROPDOWN : Optional[gradio.Dropdown] = None
-OUTPUT_AUDIO_QUALITY_SLIDER : Optional[gradio.Slider] = None
-OUTPUT_AUDIO_VOLUME_SLIDER : Optional[gradio.Slider] = None
-OUTPUT_VIDEO_ENCODER_DROPDOWN : Optional[gradio.Dropdown] = None
-OUTPUT_VIDEO_PRESET_DROPDOWN : Optional[gradio.Dropdown] = None
-OUTPUT_VIDEO_SCALE_SLIDER : Optional[gradio.Slider] = None
-OUTPUT_VIDEO_QUALITY_SLIDER : Optional[gradio.Slider] = None
-OUTPUT_VIDEO_FPS_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global OUTPUT_IMAGE_QUALITY_SLIDER
-	global OUTPUT_IMAGE_SCALE_SLIDER
-	global OUTPUT_AUDIO_ENCODER_DROPDOWN
-	global OUTPUT_AUDIO_QUALITY_SLIDER
-	global OUTPUT_AUDIO_VOLUME_SLIDER
-	global OUTPUT_VIDEO_ENCODER_DROPDOWN
-	global OUTPUT_VIDEO_PRESET_DROPDOWN
-	global OUTPUT_VIDEO_SCALE_SLIDER
-	global OUTPUT_VIDEO_QUALITY_SLIDER
-	global OUTPUT_VIDEO_FPS_SLIDER
-
-	available_encoder_set = get_available_encoder_set()
-
-	OUTPUT_IMAGE_QUALITY_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_image_quality_slider'),
-		value = state_manager.get_item('output_image_quality'),
-		step = calculate_int_step(facefusion.choices.output_image_quality_range),
-		minimum = facefusion.choices.output_image_quality_range[0],
-		maximum = facefusion.choices.output_image_quality_range[-1],
-		visible = is_image(state_manager.get_item('target_path'))
-	)
-	OUTPUT_IMAGE_SCALE_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_image_scale_slider'),
-		step = calculate_float_step(facefusion.choices.output_image_scale_range),
-		value = state_manager.get_item('output_image_scale'),
-		minimum = facefusion.choices.output_image_scale_range[0],
-		maximum = facefusion.choices.output_image_scale_range[-1],
-		visible = is_image(state_manager.get_item('target_path'))
-	)
-	OUTPUT_AUDIO_ENCODER_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.output_audio_encoder_dropdown'),
-		choices = available_encoder_set.get('audio'),
-		value = state_manager.get_item('output_audio_encoder'),
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_AUDIO_QUALITY_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_audio_quality_slider'),
-		value = state_manager.get_item('output_audio_quality'),
-		step = calculate_int_step(facefusion.choices.output_audio_quality_range),
-		minimum = facefusion.choices.output_audio_quality_range[0],
-		maximum = facefusion.choices.output_audio_quality_range[-1],
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_AUDIO_VOLUME_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_audio_volume_slider'),
-		value = state_manager.get_item('output_audio_volume'),
-		step = calculate_int_step(facefusion.choices.output_audio_volume_range),
-		minimum = facefusion.choices.output_audio_volume_range[0],
-		maximum = facefusion.choices.output_audio_volume_range[-1],
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_VIDEO_ENCODER_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.output_video_encoder_dropdown'),
-		choices = available_encoder_set.get('video'),
-		value = state_manager.get_item('output_video_encoder'),
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_VIDEO_PRESET_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.output_video_preset_dropdown'),
-		choices = facefusion.choices.output_video_presets,
-		value = state_manager.get_item('output_video_preset'),
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_VIDEO_QUALITY_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_video_quality_slider'),
-		value = state_manager.get_item('output_video_quality'),
-		step = calculate_int_step(facefusion.choices.output_video_quality_range),
-		minimum = facefusion.choices.output_video_quality_range[0],
-		maximum = facefusion.choices.output_video_quality_range[-1],
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_VIDEO_SCALE_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_video_scale_slider'),
-		step = calculate_float_step(facefusion.choices.output_video_scale_range),
-		value = state_manager.get_item('output_video_scale'),
-		minimum = facefusion.choices.output_video_scale_range[0],
-		maximum = facefusion.choices.output_video_scale_range[-1],
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	OUTPUT_VIDEO_FPS_SLIDER = gradio.Slider(
-		label = translator.get('uis.output_video_fps_slider'),
-		value = state_manager.get_item('output_video_fps'),
-		step = 0.01,
-		minimum = 1,
-		maximum = 60,
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	register_ui_component('output_video_fps_slider', OUTPUT_VIDEO_FPS_SLIDER)
-
-
-def listen() -> None:
-	OUTPUT_IMAGE_QUALITY_SLIDER.release(update_output_image_quality, inputs = OUTPUT_IMAGE_QUALITY_SLIDER)
-	OUTPUT_IMAGE_SCALE_SLIDER.release(update_output_image_scale, inputs = OUTPUT_IMAGE_SCALE_SLIDER)
-	OUTPUT_AUDIO_ENCODER_DROPDOWN.change(update_output_audio_encoder, inputs = OUTPUT_AUDIO_ENCODER_DROPDOWN)
-	OUTPUT_AUDIO_QUALITY_SLIDER.release(update_output_audio_quality, inputs = OUTPUT_AUDIO_QUALITY_SLIDER)
-	OUTPUT_AUDIO_VOLUME_SLIDER.release(update_output_audio_volume, inputs = OUTPUT_AUDIO_VOLUME_SLIDER)
-	OUTPUT_VIDEO_ENCODER_DROPDOWN.change(update_output_video_encoder, inputs = OUTPUT_VIDEO_ENCODER_DROPDOWN)
-	OUTPUT_VIDEO_PRESET_DROPDOWN.change(update_output_video_preset, inputs = OUTPUT_VIDEO_PRESET_DROPDOWN)
-	OUTPUT_VIDEO_QUALITY_SLIDER.release(update_output_video_quality, inputs = OUTPUT_VIDEO_QUALITY_SLIDER)
-	OUTPUT_VIDEO_SCALE_SLIDER.release(update_output_video_scale, inputs = OUTPUT_VIDEO_SCALE_SLIDER)
-	OUTPUT_VIDEO_FPS_SLIDER.release(update_output_video_fps, inputs = OUTPUT_VIDEO_FPS_SLIDER)
-
-	for ui_component in get_ui_components(
-	[
-		'target_image',
-		'target_video'
-	]):
-		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(remote_update, outputs = [OUTPUT_IMAGE_QUALITY_SLIDER, OUTPUT_IMAGE_SCALE_SLIDER, OUTPUT_AUDIO_ENCODER_DROPDOWN, OUTPUT_AUDIO_QUALITY_SLIDER, OUTPUT_AUDIO_VOLUME_SLIDER, OUTPUT_VIDEO_ENCODER_DROPDOWN, OUTPUT_VIDEO_PRESET_DROPDOWN, OUTPUT_VIDEO_QUALITY_SLIDER, OUTPUT_VIDEO_SCALE_SLIDER, OUTPUT_VIDEO_FPS_SLIDER])
-
-
-def remote_update() -> Tuple[gradio.Slider, gradio.Slider, gradio.Dropdown, gradio.Slider, gradio.Slider, gradio.Dropdown, gradio.Dropdown, gradio.Slider, gradio.Slider, gradio.Slider]:
-	if is_image(state_manager.get_item('target_path')):
-		return gradio.Slider(visible = True), gradio.Slider(visible = True), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Slider(visible = False), gradio.Slider(visible = False)
-	if is_video(state_manager.get_item('target_path')):
-		state_manager.set_item('output_video_fps', detect_video_fps(state_manager.get_item('target_path')))
-		return gradio.Slider(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = True), gradio.Slider(visible = True), gradio.Slider(visible = True), gradio.Dropdown(visible = True), gradio.Dropdown(visible = True), gradio.Slider(visible = True), gradio.Slider(visible = True), gradio.Slider(value = state_manager.get_item('output_video_fps'), visible = True)
-	return gradio.Slider(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Slider(visible = False), gradio.Slider(visible = False)
-
-
-def update_output_image_quality(output_image_quality : float) -> None:
-	state_manager.set_item('output_image_quality', int(output_image_quality))
-
-
-def update_output_image_scale(output_image_scale : Scale) -> None:
-	state_manager.set_item('output_image_scale', output_image_scale)
-
-
-def update_output_audio_encoder(output_audio_encoder : AudioEncoder) -> None:
-	state_manager.set_item('output_audio_encoder', output_audio_encoder)
-
-
-def update_output_audio_quality(output_audio_quality : float) -> None:
-	state_manager.set_item('output_audio_quality', int(output_audio_quality))
-
-
-def update_output_audio_volume(output_audio_volume: float) -> None:
-	state_manager.set_item('output_audio_volume', int(output_audio_volume))
-
-
-def update_output_video_encoder(output_video_encoder : VideoEncoder) -> None:
-	state_manager.set_item('output_video_encoder', output_video_encoder)
-
-
-def update_output_video_preset(output_video_preset : VideoPreset) -> None:
-	state_manager.set_item('output_video_preset', output_video_preset)
-
-
-def update_output_video_quality(output_video_quality : float) -> None:
-	state_manager.set_item('output_video_quality', int(output_video_quality))
-
-
-def update_output_video_scale(output_video_scale : Scale) -> None:
-	state_manager.set_item('output_video_scale', output_video_scale)
-
-
-def update_output_video_fps(output_video_fps : Fps) -> None:
-	state_manager.set_item('output_video_fps', output_video_fps)
diff --git a/facefusion/uis/components/preview.py b/facefusion/uis/components/preview.py
index 14822993..e69de29b 100755
--- a/facefusion/uis/components/preview.py
+++ b/facefusion/uis/components/preview.py
@@ -1,302 +0,0 @@
-from time import sleep
-from typing import List, Optional, Tuple
-
-import cv2
-import gradio
-import numpy
-
-from facefusion import logger, process_manager, state_manager, translator
-from facefusion.audio import create_empty_audio_frame, get_voice_frame
-from facefusion.common_helper import get_first
-from facefusion.content_analyser import analyse_frame
-from facefusion.face_analyser import get_one_face
-from facefusion.face_selector import select_faces
-from facefusion.face_store import clear_static_faces
-from facefusion.filesystem import filter_audio_paths, is_image, is_video
-from facefusion.processors.core import get_processors_modules
-from facefusion.types import AudioFrame, Face, Mask, VisionFrame
-from facefusion.uis import choices as uis_choices
-from facefusion.uis.core import get_ui_component, get_ui_components, register_ui_component
-from facefusion.uis.types import ComponentOptions, PreviewMode
-from facefusion.vision import detect_frame_orientation, extract_vision_mask, fit_cover_frame, merge_vision_mask, obscure_frame, read_static_image, read_static_images, read_video_frame, restrict_frame, unpack_resolution
-
-PREVIEW_IMAGE : Optional[gradio.Image] = None
-
-
-def render() -> None:
-	global PREVIEW_IMAGE
-
-	preview_image_options : ComponentOptions =\
-	{
-		'label': translator.get('uis.preview_image')
-	}
-
-	source_vision_frames = read_static_images(state_manager.get_item('source_paths'))
-	source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
-	source_audio_frame = create_empty_audio_frame()
-	source_voice_frame = create_empty_audio_frame()
-
-	if source_audio_path and state_manager.get_item('output_video_fps') and state_manager.get_item('reference_frame_number'):
-		temp_voice_frame = get_voice_frame(source_audio_path, state_manager.get_item('output_video_fps'), state_manager.get_item('reference_frame_number'))
-		if numpy.any(temp_voice_frame):
-			source_voice_frame = temp_voice_frame
-
-	if is_image(state_manager.get_item('target_path')):
-		target_vision_frame = read_static_image(state_manager.get_item('target_path'))
-		reference_vision_frame = read_static_image(state_manager.get_item('target_path'))
-		preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, target_vision_frame, uis_choices.preview_modes[0], uis_choices.preview_resolutions[-1])
-		preview_image_options['value'] = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGR2RGB)
-		preview_image_options['elem_classes'] = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ]
-
-	if is_video(state_manager.get_item('target_path')):
-		temp_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
-		reference_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
-		preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, temp_vision_frame, uis_choices.preview_modes[0], uis_choices.preview_resolutions[-1])
-		preview_image_options['value'] = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGR2RGB)
-		preview_image_options['elem_classes'] = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ]
-		preview_image_options['visible'] = True
-	PREVIEW_IMAGE = gradio.Image(**preview_image_options)
-	register_ui_component('preview_image', PREVIEW_IMAGE)
-
-
-def listen() -> None:
-	preview_frame_slider = get_ui_component('preview_frame_slider')
-	preview_mode_dropdown = get_ui_component('preview_mode_dropdown')
-	preview_resolution_dropdown = get_ui_component('preview_resolution_dropdown')
-
-	if preview_mode_dropdown:
-		preview_mode_dropdown.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	if preview_resolution_dropdown:
-		preview_resolution_dropdown.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	if preview_frame_slider:
-		preview_frame_slider.release(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE, show_progress = 'hidden')
-		preview_frame_slider.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE, show_progress = 'hidden', trigger_mode = 'once')
-
-		reference_face_position_gallery = get_ui_component('reference_face_position_gallery')
-		if reference_face_position_gallery:
-			reference_face_position_gallery.select(clear_and_update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	for ui_component in get_ui_components(
-	[
-		'source_audio',
-		'source_image',
-		'target_image',
-		'target_video'
-	]):
-		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	for ui_component in get_ui_components(
-	[
-		'background_remover_color_red_number',
-		'background_remover_color_green_number',
-		'background_remover_color_blue_number',
-		'background_remover_color_alpha_number',
-		'face_debugger_items_checkbox_group',
-		'frame_colorizer_size_dropdown',
-		'face_mask_types_checkbox_group',
-		'face_mask_areas_checkbox_group',
-		'face_mask_regions_checkbox_group',
-		'expression_restorer_areas_checkbox_group'
-	]):
-		ui_component.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	for ui_component in get_ui_components(
-	[
-		'age_modifier_direction_slider',
-		'deep_swapper_morph_slider',
-		'expression_restorer_factor_slider',
-		'face_editor_eyebrow_direction_slider',
-		'face_editor_eye_gaze_horizontal_slider',
-		'face_editor_eye_gaze_vertical_slider',
-		'face_editor_eye_open_ratio_slider',
-		'face_editor_lip_open_ratio_slider',
-		'face_editor_mouth_grim_slider',
-		'face_editor_mouth_pout_slider',
-		'face_editor_mouth_purse_slider',
-		'face_editor_mouth_smile_slider',
-		'face_editor_mouth_position_horizontal_slider',
-		'face_editor_mouth_position_vertical_slider',
-		'face_editor_head_pitch_slider',
-		'face_editor_head_yaw_slider',
-		'face_editor_head_roll_slider',
-		'face_enhancer_blend_slider',
-		'face_enhancer_weight_slider',
-		'face_swapper_weight_slider',
-		'frame_colorizer_blend_slider',
-		'frame_enhancer_blend_slider',
-		'lip_syncer_weight_slider',
-		'reference_face_distance_slider',
-		'face_selector_age_range_slider',
-		'face_mask_blur_slider',
-		'face_mask_padding_top_slider',
-		'face_mask_padding_bottom_slider',
-		'face_mask_padding_left_slider',
-		'face_mask_padding_right_slider',
-		'output_video_fps_slider'
-	]):
-		ui_component.release(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	for ui_component in get_ui_components(
-	[
-		'age_modifier_model_dropdown',
-		'background_remover_model_dropdown',
-		'deep_swapper_model_dropdown',
-		'expression_restorer_model_dropdown',
-		'processors_checkbox_group',
-		'face_editor_model_dropdown',
-		'face_enhancer_model_dropdown',
-		'face_swapper_model_dropdown',
-		'face_swapper_pixel_boost_dropdown',
-		'frame_colorizer_model_dropdown',
-		'frame_enhancer_model_dropdown',
-		'lip_syncer_model_dropdown',
-		'face_selector_mode_dropdown',
-		'face_selector_order_dropdown',
-		'face_selector_gender_dropdown',
-		'face_selector_race_dropdown',
-		'face_detector_model_dropdown',
-		'face_detector_size_dropdown',
-		'face_detector_angles_checkbox_group',
-		'face_landmarker_model_dropdown',
-		'face_occluder_model_dropdown',
-		'face_parser_model_dropdown',
-		'voice_extractor_model_dropdown'
-	]):
-		ui_component.change(clear_and_update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-	for ui_component in get_ui_components(
-	[
-		'face_detector_margin_slider',
-		'face_detector_score_slider',
-		'face_landmarker_score_slider'
-	]):
-		ui_component.release(clear_and_update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
-
-
-def update_preview_image(preview_mode : PreviewMode, preview_resolution : str, frame_number : int = 0) -> gradio.Image:
-	while process_manager.is_checking():
-		sleep(0.5)
-
-	source_vision_frames = read_static_images(state_manager.get_item('source_paths'))
-	source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
-	source_audio_frame = create_empty_audio_frame()
-	source_voice_frame = create_empty_audio_frame()
-
-	if source_audio_path and state_manager.get_item('output_video_fps') and state_manager.get_item('reference_frame_number'):
-		reference_audio_frame_number = state_manager.get_item('reference_frame_number')
-		if state_manager.get_item('trim_frame_start'):
-			reference_audio_frame_number -= state_manager.get_item('trim_frame_start')
-		temp_voice_frame = get_voice_frame(source_audio_path, state_manager.get_item('output_video_fps'), reference_audio_frame_number)
-		if numpy.any(temp_voice_frame):
-			source_voice_frame = temp_voice_frame
-
-	if is_image(state_manager.get_item('target_path')):
-		reference_vision_frame = read_static_image(state_manager.get_item('target_path'))
-		target_vision_frame = read_static_image(state_manager.get_item('target_path'), 'rgba')
-		target_vision_mask = extract_vision_mask(target_vision_frame)
-		target_vision_frame = merge_vision_mask(target_vision_frame, target_vision_mask)
-		preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, target_vision_frame, preview_mode, preview_resolution)
-		preview_vision_frame = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGRA2RGBA)
-		return gradio.Image(value = preview_vision_frame, elem_classes = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ])
-
-	if is_video(state_manager.get_item('target_path')):
-		reference_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
-		temp_vision_frame = read_video_frame(state_manager.get_item('target_path'), frame_number)
-		temp_vision_mask = extract_vision_mask(temp_vision_frame)
-		temp_vision_frame = merge_vision_mask(temp_vision_frame, temp_vision_mask)
-		preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, temp_vision_frame, preview_mode, preview_resolution)
-		preview_vision_frame = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGRA2RGBA)
-		return gradio.Image(value = preview_vision_frame, elem_classes = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ])
-	return gradio.Image(value = None, elem_classes = None)
-
-
-def clear_and_update_preview_image(preview_mode : PreviewMode, preview_resolution : str, frame_number : int = 0) -> gradio.Image:
-	clear_static_faces()
-	return update_preview_image(preview_mode, preview_resolution, frame_number)
-
-
-def process_preview_frame(reference_vision_frame : VisionFrame, source_vision_frames : List[VisionFrame], source_audio_frame : AudioFrame, source_voice_frame : AudioFrame, target_vision_frame : VisionFrame, preview_mode : PreviewMode, preview_resolution : str) -> VisionFrame:
-	target_vision_frame = restrict_frame(target_vision_frame, unpack_resolution(preview_resolution))
-	temp_vision_frame = target_vision_frame.copy()
-	temp_vision_mask = extract_vision_mask(temp_vision_frame)
-
-	if analyse_frame(target_vision_frame[:, :, :3]):
-		if preview_mode == 'frame-by-frame':
-			temp_vision_frame = obscure_frame(temp_vision_frame[:, :, :3])
-			return numpy.hstack((temp_vision_frame, temp_vision_frame))
-
-		if preview_mode == 'face-by-face':
-			target_crop_vision_frame, output_crop_vision_frame = create_face_by_face(reference_vision_frame, target_vision_frame[:, :, :3], temp_vision_frame[:, :, :3])
-			target_crop_vision_frame = obscure_frame(target_crop_vision_frame)
-			output_crop_vision_frame = obscure_frame(output_crop_vision_frame)
-			return numpy.hstack((target_crop_vision_frame, output_crop_vision_frame))
-
-		temp_vision_frame = obscure_frame(temp_vision_frame)
-		return temp_vision_frame
-
-	for processor_module in get_processors_modules(state_manager.get_item('processors')):
-		logger.disable()
-		if processor_module.pre_process('preview'):
-			logger.enable()
-			temp_vision_frame, temp_vision_mask = processor_module.process_frame(
-			{
-				'reference_vision_frame': reference_vision_frame,
-				'source_audio_frame': source_audio_frame,
-				'source_voice_frame': source_voice_frame,
-				'source_vision_frames': source_vision_frames,
-				'target_vision_frame': target_vision_frame[:, :, :3],
-				'temp_vision_frame': temp_vision_frame[:, :, :3],
-				'temp_vision_mask': temp_vision_mask
-			})
-		logger.enable()
-
-	temp_vision_frame = prepare_output_frame(target_vision_frame, temp_vision_frame, temp_vision_mask)
-
-	if preview_mode == 'frame-by-frame':
-		return numpy.hstack((target_vision_frame, temp_vision_frame))
-
-	if preview_mode == 'face-by-face':
-		target_crop_vision_frame, output_crop_vision_frame = create_face_by_face(reference_vision_frame, target_vision_frame, temp_vision_frame)
-		return numpy.hstack((target_crop_vision_frame, output_crop_vision_frame))
-
-	return temp_vision_frame
-
-
-def create_face_by_face(reference_vision_frame : VisionFrame, target_vision_frame : VisionFrame, temp_vision_frame : VisionFrame) -> Tuple[VisionFrame, VisionFrame]:
-	target_faces = select_faces(reference_vision_frame[:, :, :3], target_vision_frame[:, :, :3])
-	target_face = get_one_face(target_faces)
-
-	if target_face:
-		target_crop_vision_frame = extract_crop_frame(target_vision_frame, target_face)
-		output_crop_vision_frame = extract_crop_frame(temp_vision_frame, target_face)
-
-		if numpy.any(target_crop_vision_frame) and numpy.any(output_crop_vision_frame):
-			target_crop_dimension = min(target_crop_vision_frame.shape[:2])
-			target_crop_vision_frame = fit_cover_frame(target_crop_vision_frame, (target_crop_dimension, target_crop_dimension))
-			output_crop_vision_frame = fit_cover_frame(output_crop_vision_frame, (target_crop_dimension, target_crop_dimension))
-			return target_crop_vision_frame, output_crop_vision_frame
-
-	empty_vision_frame = numpy.zeros((512, 512, 4), dtype = numpy.uint8)
-	return empty_vision_frame, empty_vision_frame
-
-
-def extract_crop_frame(vision_frame : VisionFrame, face : Face) -> Optional[VisionFrame]:
-	start_x, start_y, end_x, end_y = map(int, face.bounding_box)
-	padding_x = int((end_x - start_x) * 0.25)
-	padding_y = int((end_y - start_y) * 0.25)
-	start_x = max(0, start_x - padding_x)
-	start_y = max(0, start_y - padding_y)
-	end_x = max(0, end_x + padding_x)
-	end_y = max(0, end_y + padding_y)
-	crop_vision_frame = vision_frame[start_y:end_y, start_x:end_x]
-	return crop_vision_frame
-
-
-def prepare_output_frame(target_vision_frame : VisionFrame, temp_vision_frame : VisionFrame, temp_vision_mask : Mask) -> VisionFrame:
-	temp_vision_mask = temp_vision_mask.clip(state_manager.get_item('background_remover_color')[-1], 255)
-	temp_vision_frame = merge_vision_mask(temp_vision_frame, temp_vision_mask)
-	temp_vision_frame = cv2.resize(temp_vision_frame, target_vision_frame.shape[1::-1])
-	return temp_vision_frame
diff --git a/facefusion/uis/components/preview_options.py b/facefusion/uis/components/preview_options.py
deleted file mode 100644
index 96942c60..00000000
--- a/facefusion/uis/components/preview_options.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from typing import Optional
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.filesystem import is_video
-from facefusion.uis import choices as uis_choices
-from facefusion.uis.core import get_ui_components, register_ui_component
-from facefusion.uis.types import ComponentOptions
-from facefusion.vision import count_video_frame_total
-
-PREVIEW_FRAME_SLIDER: Optional[gradio.Slider] = None
-PREVIEW_MODE_DROPDOWN: Optional[gradio.Dropdown] = None
-PREVIEW_RESOLUTION_DROPDOWN: Optional[gradio.Dropdown] = None
-
-
-def render() -> None:
-	global PREVIEW_FRAME_SLIDER, PREVIEW_MODE_DROPDOWN, PREVIEW_RESOLUTION_DROPDOWN
-
-	preview_frame_slider_options : ComponentOptions =\
-	{
-		'label': translator.get('uis.preview_frame_slider'),
-		'step': 1,
-		'minimum': 0,
-		'maximum': 100,
-		'visible': False
-	}
-	if is_video(state_manager.get_item('target_path')):
-		preview_frame_slider_options['value'] = state_manager.get_item('reference_frame_number')
-		preview_frame_slider_options['maximum'] = count_video_frame_total(state_manager.get_item('target_path'))
-		preview_frame_slider_options['visible'] = True
-	PREVIEW_FRAME_SLIDER = gradio.Slider(**preview_frame_slider_options)
-	with gradio.Row():
-		PREVIEW_MODE_DROPDOWN = gradio.Dropdown(
-			label = translator.get('uis.preview_mode_dropdown'),
-			value = uis_choices.preview_modes[0],
-			choices = uis_choices.preview_modes,
-			visible = True
-		)
-		PREVIEW_RESOLUTION_DROPDOWN = gradio.Dropdown(
-			label = translator.get('uis.preview_resolution_dropdown'),
-			value = uis_choices.preview_resolutions[-1],
-			choices = uis_choices.preview_resolutions,
-			visible = True
-		)
-	register_ui_component('preview_mode_dropdown', PREVIEW_MODE_DROPDOWN)
-	register_ui_component('preview_resolution_dropdown', PREVIEW_RESOLUTION_DROPDOWN)
-	register_ui_component('preview_frame_slider', PREVIEW_FRAME_SLIDER)
-
-
-def listen() -> None:
-	for ui_component in get_ui_components([ 'target_image', 'target_video' ]):
-		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(update_preview_frame_slider, outputs = PREVIEW_FRAME_SLIDER)
-
-
-def update_preview_frame_slider() -> gradio.Slider:
-	if is_video(state_manager.get_item('target_path')):
-		video_frame_total = count_video_frame_total(state_manager.get_item('target_path'))
-		return gradio.Slider(maximum = video_frame_total, visible = True)
-	return gradio.Slider(value = 0, visible = False)
diff --git a/facefusion/uis/components/processors.py b/facefusion/uis/components/processors.py
deleted file mode 100644
index 2b798d91..00000000
--- a/facefusion/uis/components/processors.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from typing import List, Optional
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.filesystem import get_file_name, resolve_file_paths
-from facefusion.processors.core import get_processors_modules
-from facefusion.uis.core import register_ui_component
-
-PROCESSORS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
-
-
-def render() -> None:
-	global PROCESSORS_CHECKBOX_GROUP
-
-	PROCESSORS_CHECKBOX_GROUP = gradio.CheckboxGroup(
-		label = translator.get('uis.processors_checkbox_group'),
-		choices = sort_processors(state_manager.get_item('processors')),
-		value = state_manager.get_item('processors')
-	)
-	register_ui_component('processors_checkbox_group', PROCESSORS_CHECKBOX_GROUP)
-
-
-def listen() -> None:
-	PROCESSORS_CHECKBOX_GROUP.change(update_processors, inputs = PROCESSORS_CHECKBOX_GROUP, outputs = PROCESSORS_CHECKBOX_GROUP)
-
-
-def update_processors(processors : List[str]) -> gradio.CheckboxGroup:
-	for processor_module in get_processors_modules(state_manager.get_item('processors')):
-		if hasattr(processor_module, 'clear_inference_pool'):
-			processor_module.clear_inference_pool()
-
-	for processor_module in get_processors_modules(processors):
-		if not processor_module.pre_check():
-			return gradio.CheckboxGroup()
-
-	state_manager.set_item('processors', processors)
-	return gradio.CheckboxGroup(value = state_manager.get_item('processors'), choices = sort_processors(state_manager.get_item('processors')))
-
-
-def sort_processors(processors : List[str]) -> List[str]:
-	available_processors = [ get_file_name(file_path) for file_path in resolve_file_paths('facefusion/processors/modules') ]
-	current_processors = []
-
-	for processor in processors + available_processors:
-		if processor in available_processors and processor not in current_processors:
-			current_processors.append(processor)
-
-	return current_processors
diff --git a/facefusion/uis/components/source.py b/facefusion/uis/components/source.py
deleted file mode 100644
index 68d6ad1d..00000000
--- a/facefusion/uis/components/source.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from typing import List, Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.common_helper import get_first
-from facefusion.filesystem import filter_audio_paths, filter_image_paths, has_audio, has_image
-from facefusion.uis.core import register_ui_component
-from facefusion.uis.types import File
-
-SOURCE_FILE : Optional[gradio.File] = None
-SOURCE_AUDIO : Optional[gradio.Audio] = None
-SOURCE_IMAGE : Optional[gradio.Image] = None
-
-
-def render() -> None:
-	global SOURCE_FILE
-	global SOURCE_AUDIO
-	global SOURCE_IMAGE
-
-	has_source_audio = has_audio(state_manager.get_item('source_paths'))
-	has_source_image = has_image(state_manager.get_item('source_paths'))
-	SOURCE_FILE = gradio.File(
-		label = translator.get('uis.source_file'),
-		file_count = 'multiple',
-		value = state_manager.get_item('source_paths') if has_source_audio or has_source_image else None
-	)
-	source_file_names = [ source_file_value.get('path') for source_file_value in SOURCE_FILE.value ] if SOURCE_FILE.value else None
-	source_audio_path = get_first(filter_audio_paths(source_file_names))
-	source_image_path = get_first(filter_image_paths(source_file_names))
-	SOURCE_AUDIO = gradio.Audio(
-		value = source_audio_path if has_source_audio else None,
-		visible = has_source_audio,
-		show_label = False
-	)
-	SOURCE_IMAGE = gradio.Image(
-		value = source_image_path if has_source_image else None,
-		visible = has_source_image,
-		show_label = False
-	)
-	register_ui_component('source_audio', SOURCE_AUDIO)
-	register_ui_component('source_image', SOURCE_IMAGE)
-
-
-def listen() -> None:
-	SOURCE_FILE.change(update, inputs = SOURCE_FILE, outputs = [ SOURCE_AUDIO, SOURCE_IMAGE ])
-
-
-def update(files : List[File]) -> Tuple[gradio.Audio, gradio.Image]:
-	file_names = [ file.name for file in files ] if files else None
-	has_source_audio = has_audio(file_names)
-	has_source_image = has_image(file_names)
-
-	if has_source_audio or has_source_image:
-		source_audio_path = get_first(filter_audio_paths(file_names))
-		source_image_path = get_first(filter_image_paths(file_names))
-		state_manager.set_item('source_paths', file_names)
-		return gradio.Audio(value = source_audio_path, visible = has_source_audio), gradio.Image(value = source_image_path, visible = has_source_image)
-
-	state_manager.clear_item('source_paths')
-	return gradio.Audio(value = None, visible = False), gradio.Image(value = None, visible = False)
diff --git a/facefusion/uis/components/target.py b/facefusion/uis/components/target.py
deleted file mode 100644
index 405e294d..00000000
--- a/facefusion/uis/components/target.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from typing import Optional, Tuple
-
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.face_store import clear_static_faces
-from facefusion.filesystem import is_image, is_video
-from facefusion.uis.core import register_ui_component
-from facefusion.uis.types import ComponentOptions, File
-
-TARGET_FILE : Optional[gradio.File] = None
-TARGET_IMAGE : Optional[gradio.Image] = None
-TARGET_VIDEO : Optional[gradio.Video] = None
-
-
-def render() -> None:
-	global TARGET_FILE
-	global TARGET_IMAGE
-	global TARGET_VIDEO
-
-	is_target_image = is_image(state_manager.get_item('target_path'))
-	is_target_video = is_video(state_manager.get_item('target_path'))
-	TARGET_FILE = gradio.File(
-		label = translator.get('uis.target_file'),
-		value = state_manager.get_item('target_path') if is_target_image or is_target_video else None
-	)
-	target_image_options : ComponentOptions =\
-	{
-		'show_label': False,
-		'visible': False
-	}
-	target_video_options : ComponentOptions =\
-	{
-		'show_label': False,
-		'visible': False
-	}
-	if is_target_image:
-		target_image_options['value'] = TARGET_FILE.value.get('path')
-		target_image_options['visible'] = True
-	if is_target_video:
-		target_video_options['value'] = TARGET_FILE.value.get('path')
-		target_video_options['visible'] = True
-	TARGET_IMAGE = gradio.Image(**target_image_options)
-	TARGET_VIDEO = gradio.Video(**target_video_options)
-	register_ui_component('target_image', TARGET_IMAGE)
-	register_ui_component('target_video', TARGET_VIDEO)
-
-
-def listen() -> None:
-	TARGET_FILE.change(update, inputs = TARGET_FILE, outputs = [ TARGET_IMAGE, TARGET_VIDEO ])
-
-
-def update(file : File) -> Tuple[gradio.Image, gradio.Video]:
-	clear_static_faces()
-
-	if file and is_image(file.name):
-		state_manager.set_item('target_path', file.name)
-		return gradio.Image(value = file.name, visible = True), gradio.Video(value = None, visible = False)
-
-	if file and is_video(file.name):
-		state_manager.set_item('target_path', file.name)
-		return gradio.Image(value = None, visible = False), gradio.Video(value = file.name, visible = True)
-
-	state_manager.clear_item('target_path')
-	return gradio.Image(value = None, visible = False), gradio.Video(value = None, visible = False)
diff --git a/facefusion/uis/components/temp_frame.py b/facefusion/uis/components/temp_frame.py
deleted file mode 100644
index bfd0e3d6..00000000
--- a/facefusion/uis/components/temp_frame.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator
-from facefusion.filesystem import is_video
-from facefusion.types import TempFrameFormat
-from facefusion.uis.core import get_ui_component
-
-TEMP_FRAME_FORMAT_DROPDOWN : Optional[gradio.Dropdown] = None
-
-
-def render() -> None:
-	global TEMP_FRAME_FORMAT_DROPDOWN
-
-	TEMP_FRAME_FORMAT_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.temp_frame_format_dropdown'),
-		choices = facefusion.choices.temp_frame_formats,
-		value = state_manager.get_item('temp_frame_format'),
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-
-
-def listen() -> None:
-	TEMP_FRAME_FORMAT_DROPDOWN.change(update_temp_frame_format, inputs = TEMP_FRAME_FORMAT_DROPDOWN)
-
-	target_video = get_ui_component('target_video')
-	if target_video:
-		for method in [ 'change', 'clear' ]:
-			getattr(target_video, method)(remote_update, outputs = TEMP_FRAME_FORMAT_DROPDOWN)
-
-
-def remote_update() -> gradio.Dropdown:
-	if is_video(state_manager.get_item('target_path')):
-		return gradio.Dropdown(visible = True)
-	return gradio.Dropdown(visible = False)
-
-
-def update_temp_frame_format(temp_frame_format : TempFrameFormat) -> None:
-	state_manager.set_item('temp_frame_format', temp_frame_format)
-
diff --git a/facefusion/uis/components/terminal.py b/facefusion/uis/components/terminal.py
deleted file mode 100644
index dcd4f85d..00000000
--- a/facefusion/uis/components/terminal.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import io
-import logging
-import math
-import os
-from typing import Optional
-
-import gradio
-from tqdm import tqdm
-
-import facefusion.choices
-from facefusion import logger, state_manager, translator
-from facefusion.types import LogLevel
-
-LOG_LEVEL_DROPDOWN : Optional[gradio.Dropdown] = None
-TERMINAL_TEXTBOX : Optional[gradio.Textbox] = None
-LOG_BUFFER = io.StringIO()
-LOG_HANDLER = logging.StreamHandler(LOG_BUFFER)
-TQDM_UPDATE = tqdm.update
-
-
-def render() -> None:
-	global LOG_LEVEL_DROPDOWN
-	global TERMINAL_TEXTBOX
-
-	LOG_LEVEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.log_level_dropdown'),
-		choices = facefusion.choices.log_levels,
-		value = state_manager.get_item('log_level')
-	)
-	TERMINAL_TEXTBOX = gradio.Textbox(
-		label = translator.get('uis.terminal_textbox'),
-		value = read_logs,
-		lines = 8,
-		max_lines = 8,
-		every = 0.5,
-		show_copy_button = True
-	)
-
-
-def listen() -> None:
-	LOG_LEVEL_DROPDOWN.change(update_log_level, inputs = LOG_LEVEL_DROPDOWN)
-	logger.get_package_logger().addHandler(LOG_HANDLER)
-	tqdm.update = tqdm_update
-
-
-def update_log_level(log_level : LogLevel) -> None:
-	state_manager.set_item('log_level', log_level)
-	logger.init(state_manager.get_item('log_level'))
-
-
-def tqdm_update(self : tqdm, n : int = 1) -> None:
-	TQDM_UPDATE(self, n)
-	output = create_tqdm_output(self)
-
-	if output:
-		LOG_BUFFER.seek(0)
-		log_buffer = LOG_BUFFER.read()
-		lines = log_buffer.splitlines()
-		if lines and lines[-1].startswith(self.desc):
-			position = log_buffer.rfind(lines[-1])
-			LOG_BUFFER.seek(position)
-		else:
-			LOG_BUFFER.seek(0, os.SEEK_END)
-		LOG_BUFFER.write(output + os.linesep)
-		LOG_BUFFER.flush()
-
-
-def create_tqdm_output(self : tqdm) -> Optional[str]:
-	if not self.disable and self.desc and self.total:
-		percentage = math.floor(self.n / self.total * 100)
-		return self.desc + translator.get('colon') + ' ' + str(percentage) + '% (' + str(self.n) + '/' + str(self.total) + ')'
-	if not self.disable and self.desc and self.unit:
-		return self.desc + translator.get('colon') + ' ' + str(self.n) + ' ' + self.unit
-	return None
-
-
-def read_logs() -> str:
-	LOG_BUFFER.seek(0)
-	logs = LOG_BUFFER.read().strip()
-	return logs
diff --git a/facefusion/uis/components/trim_frame.py b/facefusion/uis/components/trim_frame.py
deleted file mode 100644
index 8c5eb7db..00000000
--- a/facefusion/uis/components/trim_frame.py
+++ /dev/null
@@ -1,62 +0,0 @@
-from typing import Optional, Tuple
-
-from gradio_rangeslider import RangeSlider
-
-from facefusion import state_manager, translator
-from facefusion.face_store import clear_static_faces
-from facefusion.filesystem import is_video
-from facefusion.uis.core import get_ui_components
-from facefusion.uis.types import ComponentOptions
-from facefusion.vision import count_video_frame_total
-
-TRIM_FRAME_RANGE_SLIDER : Optional[RangeSlider] = None
-
-
-def render() -> None:
-	global TRIM_FRAME_RANGE_SLIDER
-
-	trim_frame_range_slider_options : ComponentOptions =\
-	{
-		'label': translator.get('uis.trim_frame_slider'),
-		'minimum': 0,
-		'step': 1,
-		'visible': False
-	}
-	if is_video(state_manager.get_item('target_path')):
-		video_frame_total = count_video_frame_total(state_manager.get_item('target_path'))
-		trim_frame_start = state_manager.get_item('trim_frame_start') or 0
-		trim_frame_end = state_manager.get_item('trim_frame_end') or video_frame_total
-		trim_frame_range_slider_options['maximum'] = video_frame_total
-		trim_frame_range_slider_options['value'] = (trim_frame_start, trim_frame_end)
-		trim_frame_range_slider_options['visible'] = True
-	TRIM_FRAME_RANGE_SLIDER = RangeSlider(**trim_frame_range_slider_options)
-
-
-def listen() -> None:
-	TRIM_FRAME_RANGE_SLIDER.release(update_trim_frame, inputs = TRIM_FRAME_RANGE_SLIDER)
-	for ui_component in get_ui_components(
-	[
-		'target_image',
-		'target_video'
-	]):
-		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(remote_update, outputs = [ TRIM_FRAME_RANGE_SLIDER ])
-
-
-def remote_update() -> RangeSlider:
-	if is_video(state_manager.get_item('target_path')):
-		video_frame_total = count_video_frame_total(state_manager.get_item('target_path'))
-		state_manager.clear_item('trim_frame_start')
-		state_manager.clear_item('trim_frame_end')
-		return RangeSlider(value = (0, video_frame_total), maximum = video_frame_total, visible = True)
-	return RangeSlider(visible = False)
-
-
-def update_trim_frame(trim_frame : Tuple[float, float]) -> None:
-	clear_static_faces()
-	trim_frame_start, trim_frame_end = trim_frame
-	video_frame_total = count_video_frame_total(state_manager.get_item('target_path'))
-	trim_frame_start = int(trim_frame_start) if trim_frame_start > 0 else None
-	trim_frame_end = int(trim_frame_end) if trim_frame_end < video_frame_total else None
-	state_manager.set_item('trim_frame_start', trim_frame_start)
-	state_manager.set_item('trim_frame_end', trim_frame_end)
diff --git a/facefusion/uis/components/ui_workflow.py b/facefusion/uis/components/ui_workflow.py
deleted file mode 100644
index 5090969e..00000000
--- a/facefusion/uis/components/ui_workflow.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Optional
-
-import gradio
-
-import facefusion
-from facefusion import state_manager, translator
-from facefusion.uis.core import register_ui_component
-
-UI_WORKFLOW_DROPDOWN : Optional[gradio.Dropdown] = None
-
-
-def render() -> None:
-	global UI_WORKFLOW_DROPDOWN
-
-	UI_WORKFLOW_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.ui_workflow'),
-		choices = facefusion.choices.ui_workflows,
-		value = state_manager.get_item('ui_workflow'),
-		interactive = True
-	)
-	register_ui_component('ui_workflow_dropdown', UI_WORKFLOW_DROPDOWN)
diff --git a/facefusion/uis/components/voice_extractor.py b/facefusion/uis/components/voice_extractor.py
deleted file mode 100644
index a0845b45..00000000
--- a/facefusion/uis/components/voice_extractor.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import Optional
-
-import gradio
-
-import facefusion.choices
-from facefusion import state_manager, translator, voice_extractor
-from facefusion.filesystem import is_video
-from facefusion.types import VoiceExtractorModel
-from facefusion.uis.core import get_ui_components, register_ui_component
-
-VOICE_EXTRACTOR_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
-
-
-def render() -> None:
-	global VOICE_EXTRACTOR_MODEL_DROPDOWN
-
-	VOICE_EXTRACTOR_MODEL_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.voice_extractor_model_dropdown'),
-		choices = facefusion.choices.voice_extractor_models,
-		value = state_manager.get_item('voice_extractor_model'),
-		visible = is_video(state_manager.get_item('target_path'))
-	)
-	register_ui_component('voice_extractor_model_dropdown', VOICE_EXTRACTOR_MODEL_DROPDOWN)
-
-
-def listen() -> None:
-	VOICE_EXTRACTOR_MODEL_DROPDOWN.change(update_voice_extractor_model, inputs = VOICE_EXTRACTOR_MODEL_DROPDOWN, outputs = VOICE_EXTRACTOR_MODEL_DROPDOWN)
-
-	for ui_component in get_ui_components(
-	[
-		'target_image',
-		'target_video'
-	]):
-		for method in [ 'change', 'clear' ]:
-			getattr(ui_component, method)(remote_update, outputs = VOICE_EXTRACTOR_MODEL_DROPDOWN)
-
-
-def remote_update() -> gradio.Dropdown:
-	if is_video(state_manager.get_item('target_path')):
-		return gradio.Dropdown(visible = True)
-	return gradio.Dropdown(visible = False)
-
-
-def update_voice_extractor_model(voice_extractor_model : VoiceExtractorModel) -> gradio.Dropdown:
-	voice_extractor.clear_inference_pool()
-	state_manager.set_item('voice_extractor_model', voice_extractor_model)
-
-	if voice_extractor.pre_check():
-		gradio.Dropdown(value = state_manager.get_item('voice_extractor_model'))
-	return gradio.Dropdown()
diff --git a/facefusion/uis/components/webcam.py b/facefusion/uis/components/webcam.py
index effc9c34..e69de29b 100644
--- a/facefusion/uis/components/webcam.py
+++ b/facefusion/uis/components/webcam.py
@@ -1,115 +0,0 @@
-from typing import Iterator, List, Optional, Tuple
-
-import cv2
-import gradio
-
-from facefusion import state_manager, translator
-from facefusion.camera_manager import clear_camera_pool, get_local_camera_capture
-from facefusion.filesystem import has_image
-from facefusion.streamer import multi_process_capture, open_stream
-from facefusion.types import Fps, VisionFrame, WebcamMode
-from facefusion.uis.core import get_ui_component
-from facefusion.uis.types import File
-from facefusion.vision import unpack_resolution
-
-SOURCE_FILE : Optional[gradio.File] = None
-WEBCAM_IMAGE : Optional[gradio.Image] = None
-WEBCAM_START_BUTTON : Optional[gradio.Button] = None
-WEBCAM_STOP_BUTTON : Optional[gradio.Button] = None
-
-
-def render() -> None:
-	global SOURCE_FILE
-	global WEBCAM_IMAGE
-	global WEBCAM_START_BUTTON
-	global WEBCAM_STOP_BUTTON
-
-	has_source_image = has_image(state_manager.get_item('source_paths'))
-	SOURCE_FILE = gradio.File(
-		label = translator.get('uis.source_file'),
-		file_count = 'multiple',
-		value = state_manager.get_item('source_paths') if has_source_image else None
-	)
-	WEBCAM_IMAGE = gradio.Image(
-		label = translator.get('uis.webcam_image'),
-		format = 'jpeg',
-		visible = False
-	)
-	WEBCAM_START_BUTTON = gradio.Button(
-		value = translator.get('uis.start_button'),
-		variant = 'primary',
-		size = 'sm'
-	)
-	WEBCAM_STOP_BUTTON = gradio.Button(
-		value = translator.get('uis.stop_button'),
-		size = 'sm',
-		visible = False
-	)
-
-
-def listen() -> None:
-	SOURCE_FILE.change(update_source, inputs = SOURCE_FILE, outputs = SOURCE_FILE)
-	webcam_device_id_dropdown = get_ui_component('webcam_device_id_dropdown')
-	webcam_mode_radio = get_ui_component('webcam_mode_radio')
-	webcam_resolution_dropdown = get_ui_component('webcam_resolution_dropdown')
-	webcam_fps_slider = get_ui_component('webcam_fps_slider')
-
-	if webcam_device_id_dropdown and webcam_mode_radio and webcam_resolution_dropdown and webcam_fps_slider:
-		WEBCAM_START_BUTTON.click(pre_start, outputs = [ SOURCE_FILE, WEBCAM_IMAGE, WEBCAM_START_BUTTON, WEBCAM_STOP_BUTTON ])
-		start_event = WEBCAM_START_BUTTON.click(start, inputs = [ webcam_device_id_dropdown, webcam_mode_radio, webcam_resolution_dropdown, webcam_fps_slider ], outputs = WEBCAM_IMAGE)
-		start_event.then(pre_stop)
-		WEBCAM_STOP_BUTTON.click(stop, cancels = start_event, outputs = WEBCAM_IMAGE)
-		WEBCAM_STOP_BUTTON.click(pre_stop, outputs = [ SOURCE_FILE, WEBCAM_IMAGE, WEBCAM_START_BUTTON, WEBCAM_STOP_BUTTON ])
-
-
-def update_source(files : List[File]) -> gradio.File:
-	file_names = [ file.name for file in files ] if files else None
-	has_source_image = has_image(file_names)
-
-	if has_source_image:
-		state_manager.set_item('source_paths', file_names)
-		return gradio.File(value = file_names)
-
-	state_manager.clear_item('source_paths')
-	return gradio.File(value = None)
-
-
-def pre_start() -> Tuple[gradio.File, gradio.Image, gradio.Button, gradio.Button]:
-	return gradio.File(visible = False), gradio.Image(visible = True), gradio.Button(visible = False), gradio.Button(visible = True)
-
-
-def pre_stop() -> Tuple[gradio.File, gradio.Image, gradio.Button, gradio.Button]:
-	return gradio.File(visible = True), gradio.Image(visible = False), gradio.Button(visible = True), gradio.Button(visible = False)
-
-
-def start(webcam_device_id : int, webcam_mode : WebcamMode, webcam_resolution : str, webcam_fps : Fps) -> Iterator[VisionFrame]:
-	state_manager.init_item('face_selector_mode', 'one')
-	state_manager.sync_state()
-
-	camera_capture = get_local_camera_capture(webcam_device_id)
-	stream = None
-
-	if webcam_mode in [ 'udp', 'v4l2' ]:
-		stream = open_stream(webcam_mode, webcam_resolution, webcam_fps) # type:ignore[arg-type]
-	webcam_width, webcam_height = unpack_resolution(webcam_resolution)
-
-	if camera_capture and camera_capture.isOpened():
-		camera_capture.set(cv2.CAP_PROP_FRAME_WIDTH, webcam_width)
-		camera_capture.set(cv2.CAP_PROP_FRAME_HEIGHT, webcam_height)
-		camera_capture.set(cv2.CAP_PROP_FPS, webcam_fps)
-
-		for capture_frame in multi_process_capture(camera_capture, webcam_fps):
-			capture_frame = cv2.cvtColor(capture_frame, cv2.COLOR_BGR2RGB)
-
-			if webcam_mode == 'inline':
-				yield capture_frame
-			else:
-				try:
-					stream.stdin.write(capture_frame.tobytes())
-				except Exception:
-					pass
-
-
-def stop() -> gradio.Image:
-	clear_camera_pool()
-	return gradio.Image(value = None)
diff --git a/facefusion/uis/components/webcam_options.py b/facefusion/uis/components/webcam_options.py
deleted file mode 100644
index e3a8bf7f..00000000
--- a/facefusion/uis/components/webcam_options.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from typing import Optional
-
-import gradio
-
-from facefusion import translator
-from facefusion.camera_manager import detect_local_camera_ids
-from facefusion.common_helper import get_first
-from facefusion.uis import choices as uis_choices
-from facefusion.uis.core import register_ui_component
-
-WEBCAM_DEVICE_ID_DROPDOWN : Optional[gradio.Dropdown] = None
-WEBCAM_MODE_RADIO : Optional[gradio.Radio] = None
-WEBCAM_RESOLUTION_DROPDOWN : Optional[gradio.Dropdown] = None
-WEBCAM_FPS_SLIDER : Optional[gradio.Slider] = None
-
-
-def render() -> None:
-	global WEBCAM_DEVICE_ID_DROPDOWN
-	global WEBCAM_MODE_RADIO
-	global WEBCAM_RESOLUTION_DROPDOWN
-	global WEBCAM_FPS_SLIDER
-
-	local_camera_ids = detect_local_camera_ids(0, 10) or [ 'none' ] #type:ignore[list-item]
-	WEBCAM_DEVICE_ID_DROPDOWN = gradio.Dropdown(
-		value = get_first(local_camera_ids),
-		label = translator.get('uis.webcam_device_id_dropdown'),
-		choices = local_camera_ids
-	)
-	WEBCAM_MODE_RADIO = gradio.Radio(
-		label = translator.get('uis.webcam_mode_radio'),
-		choices = uis_choices.webcam_modes,
-		value = uis_choices.webcam_modes[0]
-	)
-	WEBCAM_RESOLUTION_DROPDOWN = gradio.Dropdown(
-		label = translator.get('uis.webcam_resolution_dropdown'),
-		choices = uis_choices.webcam_resolutions,
-		value = uis_choices.webcam_resolutions[0]
-	)
-	WEBCAM_FPS_SLIDER = gradio.Slider(
-		label = translator.get('uis.webcam_fps_slider'),
-		value = 30,
-		step = 1,
-		minimum = 1,
-		maximum = 30
-	)
-	register_ui_component('webcam_device_id_dropdown', WEBCAM_DEVICE_ID_DROPDOWN)
-	register_ui_component('webcam_mode_radio', WEBCAM_MODE_RADIO)
-	register_ui_component('webcam_resolution_dropdown', WEBCAM_RESOLUTION_DROPDOWN)
-	register_ui_component('webcam_fps_slider', WEBCAM_FPS_SLIDER)
diff --git a/facefusion/uis/core.py b/facefusion/uis/core.py
deleted file mode 100644
index 36320599..00000000
--- a/facefusion/uis/core.py
+++ /dev/null
@@ -1,198 +0,0 @@
-import importlib
-import os
-import warnings
-from types import ModuleType
-from typing import Any, Dict, List, Optional
-
-import gradio
-from gradio.themes import Size
-
-import facefusion.uis.overrides as uis_overrides
-from facefusion import logger, metadata, state_manager, translator
-from facefusion.exit_helper import hard_exit
-from facefusion.filesystem import resolve_relative_path
-from facefusion.uis.types import Component, ComponentName
-
-UI_COMPONENTS: Dict[ComponentName, Component] = {}
-UI_LAYOUT_MODULES : List[ModuleType] = []
-UI_LAYOUT_METHODS =\
-[
-	'pre_check',
-	'render',
-	'listen',
-	'run'
-]
-
-
-def load_ui_layout_module(ui_layout : str) -> Any:
-	try:
-		ui_layout_module = importlib.import_module('facefusion.uis.layouts.' + ui_layout)
-		for method_name in UI_LAYOUT_METHODS:
-			if not hasattr(ui_layout_module, method_name):
-				raise NotImplementedError
-	except ModuleNotFoundError as exception:
-		logger.error(translator.get('ui_layout_not_loaded').format(ui_layout = ui_layout), __name__)
-		logger.debug(exception.msg, __name__)
-		hard_exit(1)
-	except NotImplementedError:
-		logger.error(translator.get('ui_layout_not_implemented').format(ui_layout = ui_layout), __name__)
-		hard_exit(1)
-	return ui_layout_module
-
-
-def get_ui_layouts_modules(ui_layouts : List[str]) -> List[ModuleType]:
-	if not UI_LAYOUT_MODULES:
-		for ui_layout in ui_layouts:
-			ui_layout_module = load_ui_layout_module(ui_layout)
-			UI_LAYOUT_MODULES.append(ui_layout_module)
-	return UI_LAYOUT_MODULES
-
-
-def get_ui_component(component_name : ComponentName) -> Optional[Component]:
-	if component_name in UI_COMPONENTS:
-		return UI_COMPONENTS[component_name]
-	return None
-
-
-def get_ui_components(component_names : List[ComponentName]) -> Optional[List[Component]]:
-	ui_components = []
-
-	for component_name in component_names:
-		component = get_ui_component(component_name)
-		if component:
-			ui_components.append(component)
-	return ui_components
-
-
-def register_ui_component(component_name : ComponentName, component: Component) -> None:
-	UI_COMPONENTS[component_name] = component
-
-
-def init() -> None:
-	os.environ['GRADIO_ANALYTICS_ENABLED'] = '0'
-	os.environ['GRADIO_TEMP_DIR'] = os.path.join(state_manager.get_item('temp_path'), 'gradio')
-
-	warnings.filterwarnings('ignore', category = UserWarning, module = 'gradio')
-	gradio.processing_utils._check_allowed = uis_overrides.mock
-	gradio.processing_utils.convert_video_to_playable_mp4 = uis_overrides.convert_video_to_playable_mp4
-	gradio.components.Number.raise_if_out_of_bounds = uis_overrides.mock
-
-
-def launch() -> None:
-	ui_layouts_total = len(state_manager.get_item('ui_layouts'))
-	with gradio.Blocks(theme = get_theme(), css = get_css(), title = metadata.get('name') + ' ' + metadata.get('version'), fill_width = True) as ui:
-		for ui_layout in state_manager.get_item('ui_layouts'):
-			ui_layout_module = load_ui_layout_module(ui_layout)
-
-			if ui_layouts_total > 1:
-				with gradio.Tab(ui_layout):
-					ui_layout_module.render()
-					ui_layout_module.listen()
-			else:
-				ui_layout_module.render()
-				ui_layout_module.listen()
-
-	for ui_layout in state_manager.get_item('ui_layouts'):
-		ui_layout_module = load_ui_layout_module(ui_layout)
-		ui_layout_module.run(ui)
-
-
-def get_theme() -> gradio.Theme:
-	return gradio.themes.Base(
-		primary_hue = gradio.themes.colors.red,
-		secondary_hue = gradio.themes.Color(
-			name = 'neutral',
-			c50 = '#fafafa',
-			c100 = '#f5f5f5',
-			c200 = '#e5e5e5',
-			c300 = '#d4d4d4',
-			c400 = '#a3a3a3',
-			c500 = '#737373',
-			c600 = '#525252',
-			c700 = '#404040',
-			c800 = '#262626',
-			c900 = '#212121',
-			c950 = '#171717',
-		),
-		radius_size = Size(
-			xxs = '0.375rem',
-			xs = '0.375rem',
-			sm = '0.375rem',
-			md = '0.375rem',
-			lg = '0.375rem',
-			xl = '0.375rem',
-			xxl = '0.375rem',
-		),
-		font = gradio.themes.GoogleFont('Open Sans')
-	).set(
-		color_accent = 'transparent',
-		color_accent_soft = 'transparent',
-		color_accent_soft_dark = 'transparent',
-		background_fill_primary = '*neutral_100',
-		background_fill_primary_dark = '*neutral_950',
-		background_fill_secondary = '*neutral_50',
-		background_fill_secondary_dark = '*neutral_800',
-		block_background_fill = 'white',
-		block_background_fill_dark = '*neutral_900',
-		block_border_width = '0',
-		block_label_background_fill = '*neutral_100',
-		block_label_background_fill_dark = '*neutral_800',
-		block_label_border_width = 'none',
-		block_label_margin = '0.5rem',
-		block_label_radius = '*radius_md',
-		block_label_text_color = '*neutral_700',
-		block_label_text_size = '*text_sm',
-		block_label_text_color_dark = 'white',
-		block_label_text_weight = '600',
-		block_title_background_fill = '*neutral_100',
-		block_title_background_fill_dark = '*neutral_800',
-		block_title_padding = '*block_label_padding',
-		block_title_radius = '*block_label_radius',
-		block_title_text_color = '*neutral_700',
-		block_title_text_size = '*text_sm',
-		block_title_text_weight = '600',
-		block_padding = '0.5rem',
-		border_color_accent = 'transparent',
-		border_color_accent_dark = 'transparent',
-		border_color_accent_subdued = 'transparent',
-		border_color_accent_subdued_dark = 'transparent',
-		border_color_primary = 'transparent',
-		border_color_primary_dark = 'transparent',
-		button_large_padding = '2rem 0.5rem',
-		button_large_text_weight = 'normal',
-		button_primary_background_fill = '*primary_500',
-		button_primary_background_fill_dark = '*primary_600',
-		button_primary_text_color = 'white',
-		button_secondary_background_fill = 'white',
-		button_secondary_background_fill_dark = '*neutral_800',
-		button_secondary_background_fill_hover = 'white',
-		button_secondary_background_fill_hover_dark = '*neutral_800',
-		button_secondary_text_color = '*neutral_800',
-		button_small_padding = '0.75rem',
-		button_small_text_size = '0.875rem',
-		checkbox_background_color = '*neutral_200',
-		checkbox_background_color_dark = '*neutral_900',
-		checkbox_background_color_selected = '*primary_600',
-		checkbox_background_color_selected_dark = '*primary_700',
-		checkbox_label_background_fill = '*neutral_50',
-		checkbox_label_background_fill_dark = '*neutral_800',
-		checkbox_label_background_fill_hover = '*neutral_50',
-		checkbox_label_background_fill_hover_dark = '*neutral_800',
-		checkbox_label_background_fill_selected = '*primary_500',
-		checkbox_label_background_fill_selected_dark = '*primary_600',
-		checkbox_label_text_color_selected = 'white',
-		error_background_fill = 'white',
-		error_background_fill_dark = '*neutral_900',
-		error_text_color = '*primary_500',
-		error_text_color_dark = '*primary_600',
-		input_background_fill = '*neutral_50',
-		input_background_fill_dark = '*neutral_800',
-		shadow_drop = 'none',
-		slider_color = '*primary_500',
-		slider_color_dark = '*primary_600'
-	)
-
-
-def get_css() -> str:
-	overrides_css_path = resolve_relative_path('uis/assets/overrides.css')
-	return open(overrides_css_path).read()
diff --git a/facefusion/uis/layouts/benchmark.py b/facefusion/uis/layouts/benchmark.py
deleted file mode 100644
index 7159b4a7..00000000
--- a/facefusion/uis/layouts/benchmark.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import gradio
-
-from facefusion import benchmarker, state_manager
-from facefusion.uis.components import about, age_modifier_options, background_remover_options, benchmark, benchmark_options, deep_swapper_options, download, execution, execution_thread_count, expression_restorer_options, face_debugger_options, face_editor_options, face_enhancer_options, face_swapper_options, frame_colorizer_options, frame_enhancer_options, lip_syncer_options, memory, processors
-
-
-def pre_check() -> bool:
-	return benchmarker.pre_check()
-
-
-def render() -> gradio.Blocks:
-	with gradio.Blocks() as layout:
-		with gradio.Row():
-			with gradio.Column(scale = 4):
-				with gradio.Blocks():
-					about.render()
-				with gradio.Blocks():
-					benchmark_options.render()
-				with gradio.Blocks():
-					processors.render()
-				with gradio.Blocks():
-					age_modifier_options.render()
-				with gradio.Blocks():
-					background_remover_options.render()
-				with gradio.Blocks():
-					deep_swapper_options.render()
-				with gradio.Blocks():
-					expression_restorer_options.render()
-				with gradio.Blocks():
-					face_debugger_options.render()
-				with gradio.Blocks():
-					face_editor_options.render()
-				with gradio.Blocks():
-					face_enhancer_options.render()
-				with gradio.Blocks():
-					face_swapper_options.render()
-				with gradio.Blocks():
-					frame_colorizer_options.render()
-				with gradio.Blocks():
-					frame_enhancer_options.render()
-				with gradio.Blocks():
-					lip_syncer_options.render()
-				with gradio.Blocks():
-					execution.render()
-					execution_thread_count.render()
-				with gradio.Blocks():
-					download.render()
-				with gradio.Blocks():
-					state_manager.set_item('video_memory_strategy', 'tolerant')
-					memory.render()
-			with gradio.Column(scale = 11):
-				with gradio.Blocks():
-					benchmark.render()
-	return layout
-
-
-def listen() -> None:
-	processors.listen()
-	age_modifier_options.listen()
-	background_remover_options.listen()
-	deep_swapper_options.listen()
-	expression_restorer_options.listen()
-	download.listen()
-	face_debugger_options.listen()
-	face_editor_options.listen()
-	face_enhancer_options.listen()
-	face_swapper_options.listen()
-	frame_colorizer_options.listen()
-	frame_enhancer_options.listen()
-	lip_syncer_options.listen()
-	execution.listen()
-	execution_thread_count.listen()
-	memory.listen()
-	benchmark.listen()
-	benchmark_options.listen()
-
-
-def run(ui : gradio.Blocks) -> None:
-	ui.launch(favicon_path = 'facefusion.ico', inbrowser = state_manager.get_item('open_browser'))
diff --git a/facefusion/uis/layouts/default.py b/facefusion/uis/layouts/default.py
deleted file mode 100755
index ef1a0727..00000000
--- a/facefusion/uis/layouts/default.py
+++ /dev/null
@@ -1,125 +0,0 @@
-import gradio
-
-from facefusion import state_manager
-from facefusion.uis.components import about, age_modifier_options, background_remover_options, common_options, deep_swapper_options, download, execution, execution_thread_count, expression_restorer_options, face_debugger_options, face_detector, face_editor_options, face_enhancer_options, face_landmarker, face_masker, face_selector, face_swapper_options, frame_colorizer_options, frame_enhancer_options, instant_runner, job_manager, job_runner, lip_syncer_options, memory, output, output_options, preview, preview_options, processors, source, target, temp_frame, terminal, trim_frame, ui_workflow, voice_extractor
-
-
-def pre_check() -> bool:
-	return True
-
-
-def render() -> gradio.Blocks:
-	with gradio.Blocks() as layout:
-		with gradio.Row():
-			with gradio.Column(scale = 4):
-				with gradio.Blocks():
-					about.render()
-				with gradio.Blocks():
-					processors.render()
-				with gradio.Blocks():
-					age_modifier_options.render()
-				with gradio.Blocks():
-					background_remover_options.render()
-				with gradio.Blocks():
-					deep_swapper_options.render()
-				with gradio.Blocks():
-					expression_restorer_options.render()
-				with gradio.Blocks():
-					face_debugger_options.render()
-				with gradio.Blocks():
-					face_editor_options.render()
-				with gradio.Blocks():
-					face_enhancer_options.render()
-				with gradio.Blocks():
-					face_swapper_options.render()
-				with gradio.Blocks():
-					frame_colorizer_options.render()
-				with gradio.Blocks():
-					frame_enhancer_options.render()
-				with gradio.Blocks():
-					lip_syncer_options.render()
-				with gradio.Blocks():
-					voice_extractor.render()
-				with gradio.Blocks():
-					execution.render()
-					execution_thread_count.render()
-				with gradio.Blocks():
-					download.render()
-				with gradio.Blocks():
-					memory.render()
-				with gradio.Blocks():
-					temp_frame.render()
-				with gradio.Blocks():
-					output_options.render()
-			with gradio.Column(scale = 4):
-				with gradio.Blocks():
-					source.render()
-				with gradio.Blocks():
-					target.render()
-				with gradio.Blocks():
-					output.render()
-				with gradio.Blocks():
-					terminal.render()
-				with gradio.Blocks():
-					ui_workflow.render()
-					instant_runner.render()
-					job_runner.render()
-					job_manager.render()
-			with gradio.Column(scale = 7):
-				with gradio.Blocks():
-					preview.render()
-					preview_options.render()
-				with gradio.Blocks():
-					trim_frame.render()
-				with gradio.Blocks():
-					face_selector.render()
-				with gradio.Blocks():
-					face_masker.render()
-				with gradio.Blocks():
-					face_detector.render()
-				with gradio.Blocks():
-					face_landmarker.render()
-				with gradio.Blocks():
-					common_options.render()
-	return layout
-
-
-def listen() -> None:
-	processors.listen()
-	age_modifier_options.listen()
-	background_remover_options.listen()
-	deep_swapper_options.listen()
-	expression_restorer_options.listen()
-	face_debugger_options.listen()
-	face_editor_options.listen()
-	face_enhancer_options.listen()
-	face_swapper_options.listen()
-	frame_colorizer_options.listen()
-	frame_enhancer_options.listen()
-	lip_syncer_options.listen()
-	execution.listen()
-	execution_thread_count.listen()
-	download.listen()
-	memory.listen()
-	temp_frame.listen()
-	output_options.listen()
-	source.listen()
-	target.listen()
-	output.listen()
-	instant_runner.listen()
-	job_runner.listen()
-	job_manager.listen()
-	terminal.listen()
-	preview.listen()
-	preview_options.listen()
-	trim_frame.listen()
-	face_selector.listen()
-	face_masker.listen()
-	face_detector.listen()
-	face_landmarker.listen()
-	voice_extractor.listen()
-	common_options.listen()
-
-
-def run(ui : gradio.Blocks) -> None:
-	ui.launch(favicon_path = 'facefusion.ico', inbrowser = state_manager.get_item('open_browser'))
diff --git a/facefusion/uis/layouts/jobs.py b/facefusion/uis/layouts/jobs.py
deleted file mode 100755
index ce38cc8f..00000000
--- a/facefusion/uis/layouts/jobs.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import gradio
-
-from facefusion import state_manager
-from facefusion.uis.components import about, job_list, job_list_options
-
-
-def pre_check() -> bool:
-	return True
-
-
-def render() -> gradio.Blocks:
-	with gradio.Blocks() as layout:
-		with gradio.Row():
-			with gradio.Column(scale = 4):
-				with gradio.Blocks():
-					about.render()
-				with gradio.Blocks():
-					job_list_options.render()
-			with gradio.Column(scale = 11):
-				with gradio.Blocks():
-					job_list.render()
-	return layout
-
-
-def listen() -> None:
-	job_list_options.listen()
-	job_list.listen()
-
-
-def run(ui : gradio.Blocks) -> None:
-	ui.launch(favicon_path = 'facefusion.ico', inbrowser = state_manager.get_item('open_browser'))
diff --git a/facefusion/uis/layouts/webcam.py b/facefusion/uis/layouts/webcam.py
deleted file mode 100644
index 6adf91dc..00000000
--- a/facefusion/uis/layouts/webcam.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import gradio
-
-from facefusion import state_manager
-from facefusion.uis.components import about, age_modifier_options, background_remover_options, deep_swapper_options, download, execution, execution_thread_count, expression_restorer_options, face_debugger_options, face_editor_options, face_enhancer_options, face_swapper_options, frame_colorizer_options, frame_enhancer_options, lip_syncer_options, processors, webcam, webcam_options
-
-
-def pre_check() -> bool:
-	return True
-
-
-def render() -> gradio.Blocks:
-	with gradio.Blocks() as layout:
-		with gradio.Row():
-			with gradio.Column(scale = 4):
-				with gradio.Blocks():
-					about.render()
-				with gradio.Blocks():
-					webcam_options.render()
-				with gradio.Blocks():
-					processors.render()
-				with gradio.Blocks():
-					age_modifier_options.render()
-				with gradio.Blocks():
-					background_remover_options.render()
-				with gradio.Blocks():
-					deep_swapper_options.render()
-				with gradio.Blocks():
-					expression_restorer_options.render()
-				with gradio.Blocks():
-					face_debugger_options.render()
-				with gradio.Blocks():
-					face_editor_options.render()
-				with gradio.Blocks():
-					face_enhancer_options.render()
-				with gradio.Blocks():
-					face_swapper_options.render()
-				with gradio.Blocks():
-					frame_colorizer_options.render()
-				with gradio.Blocks():
-					frame_enhancer_options.render()
-				with gradio.Blocks():
-					lip_syncer_options.render()
-				with gradio.Blocks():
-					execution.render()
-					execution_thread_count.render()
-				with gradio.Blocks():
-					download.render()
-			with gradio.Column(scale = 11):
-				with gradio.Blocks():
-					webcam.render()
-	return layout
-
-
-def listen() -> None:
-	processors.listen()
-	age_modifier_options.listen()
-	background_remover_options.listen()
-	deep_swapper_options.listen()
-	expression_restorer_options.listen()
-	download.listen()
-	face_debugger_options.listen()
-	face_editor_options.listen()
-	face_enhancer_options.listen()
-	face_swapper_options.listen()
-	frame_colorizer_options.listen()
-	frame_enhancer_options.listen()
-	lip_syncer_options.listen()
-	execution.listen()
-	execution_thread_count.listen()
-	webcam.listen()
-
-
-def run(ui : gradio.Blocks) -> None:
-	ui.launch(favicon_path = 'facefusion.ico', inbrowser = state_manager.get_item('open_browser'))
diff --git a/facefusion/uis/overrides.py b/facefusion/uis/overrides.py
deleted file mode 100644
index aa9c0157..00000000
--- a/facefusion/uis/overrides.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from facefusion import ffmpeg_builder
-from facefusion.ffmpeg import run_ffmpeg
-from facefusion.filesystem import get_file_size
-from facefusion.temp_helper import create_temp_directory, get_temp_file_path
-from facefusion.uis.types import MockArgs
-
-
-def convert_video_to_playable_mp4(video_path : str) -> str:
-	video_file_size = get_file_size(video_path)
-	max_file_size = 512 * 1024 * 1024
-
-	create_temp_directory(video_path)
-	temp_video_path = get_temp_file_path(video_path)
-	commands = ffmpeg_builder.set_input(video_path)
-
-	if video_file_size > max_file_size:
-		commands.extend(ffmpeg_builder.set_video_duration(10))
-
-	commands.extend(ffmpeg_builder.force_output(temp_video_path))
-
-	process = run_ffmpeg(commands)
-	process.communicate()
-
-	if process.returncode == 0:
-		return temp_video_path
-
-	return video_path
-
-
-def mock(*args : MockArgs, **kwargs : MockArgs) -> None:
-	pass
diff --git a/facefusion/uis/types.py b/facefusion/uis/types.py
deleted file mode 100644
index 337fd5d2..00000000
--- a/facefusion/uis/types.py
+++ /dev/null
@@ -1,99 +0,0 @@
-from typing import Any, Dict, IO, Literal, TypeAlias
-
-File : TypeAlias = IO[Any]
-ComponentName = Literal\
-[
-	'age_modifier_direction_slider',
-	'age_modifier_model_dropdown',
-	'background_remover_model_dropdown',
-	'background_remover_color_red_number',
-	'background_remover_color_green_number',
-	'background_remover_color_blue_number',
-	'background_remover_color_alpha_number',
-	'deep_swapper_model_dropdown',
-	'deep_swapper_morph_slider',
-	'expression_restorer_factor_slider',
-	'expression_restorer_model_dropdown',
-	'expression_restorer_areas_checkbox_group',
-	'face_debugger_items_checkbox_group',
-	'face_detector_angles_checkbox_group',
-	'face_detector_model_dropdown',
-	'face_detector_margin_slider',
-	'face_detector_score_slider',
-	'face_detector_size_dropdown',
-	'face_editor_eyebrow_direction_slider',
-	'face_editor_eye_gaze_horizontal_slider',
-	'face_editor_eye_gaze_vertical_slider',
-	'face_editor_eye_open_ratio_slider',
-	'face_editor_head_pitch_slider',
-	'face_editor_head_roll_slider',
-	'face_editor_head_yaw_slider',
-	'face_editor_lip_open_ratio_slider',
-	'face_editor_model_dropdown',
-	'face_editor_mouth_grim_slider',
-	'face_editor_mouth_position_horizontal_slider',
-	'face_editor_mouth_position_vertical_slider',
-	'face_editor_mouth_pout_slider',
-	'face_editor_mouth_purse_slider',
-	'face_editor_mouth_smile_slider',
-	'face_enhancer_blend_slider',
-	'face_enhancer_model_dropdown',
-	'face_enhancer_weight_slider',
-	'face_landmarker_model_dropdown',
-	'face_landmarker_score_slider',
-	'face_mask_types_checkbox_group',
-	'face_mask_areas_checkbox_group',
-	'face_mask_regions_checkbox_group',
-	'face_mask_blur_slider',
-	'face_mask_padding_bottom_slider',
-	'face_mask_padding_left_slider',
-	'face_mask_padding_right_slider',
-	'face_mask_padding_top_slider',
-	'face_selector_age_range_slider',
-	'face_selector_gender_dropdown',
-	'face_selector_mode_dropdown',
-	'face_selector_order_dropdown',
-	'face_selector_race_dropdown',
-	'face_swapper_model_dropdown',
-	'face_swapper_pixel_boost_dropdown',
-	'face_swapper_weight_slider',
-	'face_occluder_model_dropdown',
-	'face_parser_model_dropdown',
-	'voice_extractor_model_dropdown',
-	'frame_colorizer_blend_slider',
-	'frame_colorizer_model_dropdown',
-	'frame_colorizer_size_dropdown',
-	'frame_enhancer_blend_slider',
-	'frame_enhancer_model_dropdown',
-	'job_list_job_status_checkbox_group',
-	'lip_syncer_model_dropdown',
-	'lip_syncer_weight_slider',
-	'output_image',
-	'output_video',
-	'output_video_fps_slider',
-	'preview_image',
-	'preview_frame_slider',
-	'preview_mode_dropdown',
-	'preview_resolution_dropdown',
-	'processors_checkbox_group',
-	'reference_face_distance_slider',
-	'reference_face_position_gallery',
-	'source_audio',
-	'source_image',
-	'target_image',
-	'target_video',
-	'ui_workflow_dropdown',
-	'webcam_device_id_dropdown',
-	'webcam_fps_slider',
-	'webcam_mode_radio',
-	'webcam_resolution_dropdown'
-]
-Component : TypeAlias = Any
-ComponentOptions : TypeAlias = Dict[str, Any]
-
-JobManagerAction = Literal['job-create', 'job-submit', 'job-delete', 'job-add-step', 'job-remix-step', 'job-insert-step', 'job-remove-step']
-JobRunnerAction = Literal['job-run', 'job-run-all', 'job-retry', 'job-retry-all']
-
-PreviewMode = Literal[ 'default', 'frame-by-frame', 'face-by-face' ]
-
-MockArgs : TypeAlias = Any
diff --git a/facefusion/uis/ui_helper.py b/facefusion/uis/ui_helper.py
deleted file mode 100644
index 27bc265c..00000000
--- a/facefusion/uis/ui_helper.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import hashlib
-import os
-from typing import Optional
-
-from facefusion import state_manager
-from facefusion.filesystem import get_file_extension, is_image, is_video
-
-
-def convert_int_none(value : int) -> Optional[int]:
-	if value == 'none':
-		return None
-	return value
-
-
-def convert_str_none(value : str) -> Optional[str]:
-	if value == 'none':
-		return None
-	return value
-
-
-def suggest_output_path(output_directory_path : str, target_path : str) -> Optional[str]:
-	if is_image(target_path) or is_video(target_path):
-		output_file_name = hashlib.sha1(str(state_manager.get_state()).encode()).hexdigest()[:8]
-		target_file_extension = get_file_extension(target_path)
-		return os.path.join(output_directory_path, output_file_name + target_file_extension)
-	return None
diff --git a/requirements.txt b/requirements.txt
index 032e39f0..22122b95 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,3 @@
-gradio-rangeslider==0.0.8
-gradio==5.44.1
 numpy==2.2.6
 onnx==1.19.1
 onnxruntime==1.23.2
diff --git a/tests/test_cli_age_modifier.py b/tests/test_cli_age_modifier.py
index 2184ac88..13a23f56 100644
--- a/tests/test_cli_age_modifier.py
+++ b/tests/test_cli_age_modifier.py
@@ -25,14 +25,14 @@ def before_each() -> None:
 
 
 def test_modify_age_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'age_modifier', '--age-modifier-direction', '100', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-age-face-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'age_modifier', '--age-modifier-direction', '100', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-age-face-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-age-face-to-image.jpg') is True
 
 
 def test_modify_age_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'age_modifier', '--age-modifier-direction', '100', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-age-face-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'age_modifier', '--age-modifier-direction', '100', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-age-face-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-age-face-to-video.mp4') is True
diff --git a/tests/test_cli_background_remover.py b/tests/test_cli_background_remover.py
index 5ee4b3f9..4d854468 100644
--- a/tests/test_cli_background_remover.py
+++ b/tests/test_cli_background_remover.py
@@ -26,14 +26,14 @@ def before_each() -> None:
 
 
 def test_remove_background_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'background_remover', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-remove-background-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'background_remover', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-remove-background-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-remove-background-to-image.jpg') is True
 
 
 def test_remove_background_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'background_remover', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-remove-background-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'background_remover', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-remove-background-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-remove-background-to-video.mp4') is True
diff --git a/tests/test_cli_expression_restorer.py b/tests/test_cli_expression_restorer.py
index 236cf78f..12258c07 100644
--- a/tests/test_cli_expression_restorer.py
+++ b/tests/test_cli_expression_restorer.py
@@ -25,14 +25,14 @@ def before_each() -> None:
 
 
 def test_restore_expression_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'expression_restorer', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-restore-expression-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'expression_restorer', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-restore-expression-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-restore-expression-to-image.jpg') is True
 
 
 def test_restore_expression_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'expression_restorer', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-restore-expression-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'expression_restorer', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-restore-expression-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-restore-expression-to-video.mp4') is True
diff --git a/tests/test_cli_face_debugger.py b/tests/test_cli_face_debugger.py
index b393881d..48fd1ec7 100644
--- a/tests/test_cli_face_debugger.py
+++ b/tests/test_cli_face_debugger.py
@@ -26,14 +26,14 @@ def before_each() -> None:
 
 
 def test_debug_face_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_debugger', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-debug-face-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_debugger', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-debug-face-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-debug-face-to-image.jpg') is True
 
 
 def test_debug_face_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_debugger', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-debug-face-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_debugger', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-debug-face-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-debug-face-to-video.mp4') is True
diff --git a/tests/test_cli_face_editor.py b/tests/test_cli_face_editor.py
index 27b289ec..75b4b537 100644
--- a/tests/test_cli_face_editor.py
+++ b/tests/test_cli_face_editor.py
@@ -26,14 +26,14 @@ def before_each() -> None:
 
 
 def test_edit_face_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_editor', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-edit-face-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_editor', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-edit-face-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-edit-face-to-image.jpg') is True
 
 
 def test_edit_face_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_editor', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-edit-face-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_editor', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-edit-face-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-edit-face-to-video.mp4') is True
diff --git a/tests/test_cli_face_enhancer.py b/tests/test_cli_face_enhancer.py
index c1e5128f..344f6daf 100644
--- a/tests/test_cli_face_enhancer.py
+++ b/tests/test_cli_face_enhancer.py
@@ -26,14 +26,14 @@ def before_each() -> None:
 
 
 def test_enhance_face_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_enhancer', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-enhance-face-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_enhancer', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-enhance-face-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-enhance-face-to-image.jpg') is True
 
 
 def test_enhance_face_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_enhancer', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-enhance-face-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_enhancer', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-enhance-face-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-enhance-face-to-video.mp4') is True
diff --git a/tests/test_cli_face_swapper.py b/tests/test_cli_face_swapper.py
index be68cde5..de59055d 100644
--- a/tests/test_cli_face_swapper.py
+++ b/tests/test_cli_face_swapper.py
@@ -26,14 +26,14 @@ def before_each() -> None:
 
 
 def test_swap_face_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_swapper', '-s', get_test_example_file('source.jpg'), '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-swap-face-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_swapper', '-s', get_test_example_file('source.jpg'), '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-swap-face-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-swap-face-to-image.jpg') is True
 
 
 def test_swap_face_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_swapper', '-s', get_test_example_file('source.jpg'), '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-swap-face-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'face_swapper', '-s', get_test_example_file('source.jpg'), '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-swap-face-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-swap-face-to-video.mp4') is True
diff --git a/tests/test_cli_frame_colorizer.py b/tests/test_cli_frame_colorizer.py
index 38774c0a..675dbb84 100644
--- a/tests/test_cli_frame_colorizer.py
+++ b/tests/test_cli_frame_colorizer.py
@@ -27,14 +27,14 @@ def before_each() -> None:
 
 
 def test_colorize_frame_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_colorizer', '-t', get_test_example_file('target-240p-0sat.jpg'), '-o', get_test_output_file('test_colorize-frame-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_colorizer', '-t', get_test_example_file('target-240p-0sat.jpg'), '-o', get_test_output_file('test_colorize-frame-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test_colorize-frame-to-image.jpg') is True
 
 
 def test_colorize_frame_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_colorizer', '-t', get_test_example_file('target-240p-0sat.mp4'), '-o', get_test_output_file('test-colorize-frame-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_colorizer', '-t', get_test_example_file('target-240p-0sat.mp4'), '-o', get_test_output_file('test-colorize-frame-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-colorize-frame-to-video.mp4') is True
diff --git a/tests/test_cli_frame_enhancer.py b/tests/test_cli_frame_enhancer.py
index 7892fa2d..1d5ba501 100644
--- a/tests/test_cli_frame_enhancer.py
+++ b/tests/test_cli_frame_enhancer.py
@@ -26,14 +26,14 @@ def before_each() -> None:
 
 
 def test_enhance_frame_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-enhance-frame-to-image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test-enhance-frame-to-image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-enhance-frame-to-image.jpg') is True
 
 
 def test_enhance_frame_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-enhance-frame-to-video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test-enhance-frame-to-video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test-enhance-frame-to-video.mp4') is True
diff --git a/tests/test_cli_lip_syncer.py b/tests/test_cli_lip_syncer.py
index c0e5cc33..b61a2559 100644
--- a/tests/test_cli_lip_syncer.py
+++ b/tests/test_cli_lip_syncer.py
@@ -27,14 +27,14 @@ def before_each() -> None:
 
 
 def test_sync_lip_to_image() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'lip_syncer', '-s', get_test_example_file('source.mp3'), '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test_sync_lip_to_image.jpg') ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'lip_syncer', '-s', get_test_example_file('source.mp3'), '-t', get_test_example_file('target-240p.jpg'), '-o', get_test_output_file('test_sync_lip_to_image.jpg') ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test_sync_lip_to_image.jpg') is True
 
 
 def test_sync_lip_to_video() -> None:
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'lip_syncer', '-s', get_test_example_file('source.mp3'), '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test_sync_lip_to_video.mp4'), '--trim-frame-end', '1' ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'lip_syncer', '-s', get_test_example_file('source.mp3'), '-t', get_test_example_file('target-240p.mp4'), '-o', get_test_output_file('test_sync_lip_to_video.mp4'), '--trim-frame-end', '1' ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert is_test_output_file('test_sync_lip_to_video.mp4') is True
diff --git a/tests/test_cli_output_scale.py b/tests/test_cli_output_scale.py
index 7c187fc3..2a6ddb9d 100644
--- a/tests/test_cli_output_scale.py
+++ b/tests/test_cli_output_scale.py
@@ -36,7 +36,7 @@ def before_each() -> None:
 ])
 def test_output_image_scale(output_image_scale : Scale, output_image_resolution : Resolution) -> None:
 	output_file_path = get_test_output_file('test-output-image-scale-' + str(output_image_scale) + '.jpg')
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.jpg'), '-o', output_file_path, '--output-image-scale', str(output_image_scale) ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.jpg'), '-o', output_file_path, '--output-image-scale', str(output_image_scale) ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert detect_image_resolution(output_file_path) == output_image_resolution
@@ -51,7 +51,7 @@ def test_output_image_scale(output_image_scale : Scale, output_image_resolution
 ])
 def test_output_video_scale(output_video_scale : Scale, output_video_resolution : Resolution) -> None:
 	output_file_path = get_test_output_file('test-output-video-scale-' + str(output_video_scale) + '.mp4')
-	commands = [ sys.executable, 'facefusion.py', 'headless-run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.mp4'), '-o', output_file_path, '--trim-frame-end', '1', '--output-video-scale', str(output_video_scale) ]
+	commands = [ sys.executable, 'facefusion.py', 'run', '--jobs-path', get_test_jobs_directory(), '--processors', 'frame_enhancer', '-t', get_test_example_file('target-240p.mp4'), '-o', output_file_path, '--trim-frame-end', '1', '--output-video-scale', str(output_video_scale) ]
 
 	assert subprocess.run(commands).returncode == 0
 	assert detect_video_resolution(output_file_path) == output_video_resolution
diff --git a/tests/test_inference_manager.py b/tests/test_inference_manager.py
index 8f90e9f9..07550337 100644
--- a/tests/test_inference_manager.py
+++ b/tests/test_inference_manager.py
@@ -24,9 +24,9 @@ def test_get_inference_pool() -> None:
 
 		assert isinstance(INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
 
-	with patch('facefusion.inference_manager.detect_app_context', return_value = 'ui'):
+	with patch('facefusion.inference_manager.detect_app_context', return_value = 'api'):
 		get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
 
 		assert isinstance(INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
 
-	assert INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1') == INFERENCE_POOL_SET.get('ui').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1')
+	assert INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1') == INFERENCE_POOL_SET.get('api').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1')
diff --git a/tests/test_state_manager.py b/tests/test_state_manager.py
index 5d3da066..d2ea313f 100644
--- a/tests/test_state_manager.py
+++ b/tests/test_state_manager.py
@@ -18,18 +18,18 @@ def clear_state(app_context : AppContext) -> None:
 @pytest.fixture(scope = 'function', autouse = True)
 def before_each() -> None:
 	clear_state('cli')
-	clear_state('ui')
+	clear_state('api')
 
 
 def test_init_item() -> None:
 	init_item('video_memory_strategy', 'tolerant')
 
 	assert get_state('cli').get('video_memory_strategy') == 'tolerant'
-	assert get_state('ui').get('video_memory_strategy') == 'tolerant'
+	assert get_state('api').get('video_memory_strategy') == 'tolerant'
 
 
 def test_get_item_and_set_item() -> None:
 	set_item('video_memory_strategy', 'tolerant')
 
 	assert get_item('video_memory_strategy') == 'tolerant'
-	assert get_state('ui').get('video_memory_strategy') is None
+	assert get_state('api').get('video_memory_strategy') is None