memory release

facefusion/core.py

@@ -5,7 +5,7 @@ import signal
 import sys
 from time import time
 
-from facefusion import benchmarker, cli_helper, content_analyser, hash_helper, logger, state_manager, translator
+from facefusion import benchmarker, cli_helper, content_analyser, hash_helper, logger, memory_manager, state_manager, translator
 from facefusion.args import apply_args, collect_job_args, reduce_job_args, reduce_step_args
 from facefusion.download import conditional_download_hashes, conditional_download_sources
 from facefusion.exit_helper import hard_exit, signal_exit
@@ -305,6 +305,7 @@ def process_step(job_id : str, step_index : int, step_args : Args) -> bool:
 	logger.info(translator.get('processing_step').format(step_current = step_index + 1, step_total = step_total), __name__)
 	if common_pre_check() and processors_pre_check():
 		error_code = conditional_process()
+		memory_manager.release_memory()
 		return error_code == 0
 	return False
 

facefusion/inference_manager.py

@@ -32,12 +32,10 @@ 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 state_manager.get_item('video_memory_strategy') == 'tolerant':
+		if app_context == 'cli' and INFERENCE_POOL_SET.get('ui').get(inference_context):
-			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)
-				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):
-			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)
-				INFERENCE_POOL_SET['ui'][inference_context] = INFERENCE_POOL_SET.get('cli').get(inference_context)
-
 		if not INFERENCE_POOL_SET.get(app_context).get(inference_context):
 			inference_providers = resolve_static_inference_providers(module_name, execution_device_id)
 			INFERENCE_POOL_SET[app_context][inference_context] = create_inference_pool(model_source_set, inference_providers)
@@ -51,7 +49,6 @@ def create_inference_pool(model_source_set : DownloadSet, inference_providers :
 
 	for model_name in model_source_set.keys():
 		model_path = model_source_set.get(model_name).get('path')
-
 		if is_file(model_path):
 			inference_pool[model_name] = create_inference_session(model_path, inference_providers)
 
@@ -68,7 +65,6 @@ def clear_inference_pool(module_name : str, model_names : List[str]) -> None:
 
 	for execution_device_id in execution_device_ids:
 		inference_context = get_inference_context(module_name, model_names, execution_device_id, execution_providers)
-
 		if INFERENCE_POOL_SET.get(app_context).get(inference_context):
 			del INFERENCE_POOL_SET[app_context][inference_context]
 

facefusion/installer.py

@@ -19,17 +19,16 @@ LOCALES =\
 }
 ONNXRUNTIME_SET =\
 {
-	'default': ('onnxruntime', '1.28.0')
+	'default': ('onnxruntime', '1.26.0')
 }
 if is_windows() or is_linux():
-	ONNXRUNTIME_SET['cuda@12'] = ('onnxruntime-gpu', '1.26.0')
+	ONNXRUNTIME_SET['cuda'] = ('onnxruntime-gpu', '1.26.0')
-	ONNXRUNTIME_SET['cuda@13'] = ('onnxruntime-gpu', '1.28.0')
 	ONNXRUNTIME_SET['openvino'] = ('onnxruntime-openvino', '1.24.1')
 if is_windows():
 	ONNXRUNTIME_SET['directml'] = ('onnxruntime-directml', '1.24.4')
-	ONNXRUNTIME_SET['qnn'] = ('onnxruntime-qnn', '2.4.0')
+	ONNXRUNTIME_SET['qnn'] = ('onnxruntime-qnn', '1.24.4')
 if is_linux():
-	ONNXRUNTIME_SET['migraphx'] = ('onnxruntime-migraphx', '1.27.1')
+	ONNXRUNTIME_SET['migraphx'] = ('onnxruntime-migraphx', '1.26.0')
 	ONNXRUNTIME_SET['rocm'] = ('onnxruntime-rocm', '1.22.2.post3')
 
 
@@ -64,7 +63,6 @@ def run(program : ArgumentParser) -> None:
 
 		for line in file.readlines():
 			__line__ = line.strip()
-
 			if not __line__.startswith('onnxruntime'):
 				commands.append(__line__)
 

facefusion/libraries/libc.py

@@ -0,0 +1,28 @@
+import ctypes
+import ctypes.util
+from functools import lru_cache
+from typing import Optional
+
+
+def pre_check() -> bool:
+	return create_static_library() is not None
+
+
+@lru_cache
+def create_static_library() -> Optional[ctypes.CDLL]:
+	library_path = ctypes.util.find_library('c')
+
+	if library_path:
+		library = ctypes.CDLL(library_path)
+
+		if hasattr(library, 'malloc_trim'):
+			return init_ctypes(library)
+
+	return None
+
+
+def init_ctypes(library : ctypes.CDLL) -> ctypes.CDLL:
+	library.malloc_trim.argtypes = [ ctypes.c_size_t ]
+	library.malloc_trim.restype = ctypes.c_int
+
+	return library

facefusion/metadata.py

@@ -4,7 +4,7 @@ METADATA =\
 {
 	'name': 'FaceFusion',
 	'description': 'Industry leading face manipulation platform',
-	'version': '3.8.1',
+	'version': '3.8.0',
 	'license': 'OpenRAIL-AS',
 	'author': 'Henry Ruhs',
 	'url': 'https://facefusion.io'

facefusion/processors/modules/face_swapper/core.py

@@ -504,15 +504,15 @@ def clear_inference_pool() -> None:
 
 def adjust_inference_providers() -> List[InferenceProvider]:
 	model_precision = get_model_options().get('precision')
+	model_type = get_model_options().get('type')
 
-	if is_macos() and has_execution_provider('coreml') and model_precision == 'fp16':
+	if is_macos() and has_execution_provider('coreml'):
-		if state_manager.get_item('workflow_mode') == 'image-to-video':
+		if model_type in [ 'ghost', 'uniface' ] or model_precision == 'fp16':
 			return\
 			[
 				(facefusion.choices.execution_provider_set.get('coreml'),
 				{
-					'ModelFormat': 'MLProgram',
+					'ModelFormat': 'MLProgram'
-					'MLComputeUnits': 'CPUAndGPU'
 				})
 			]
 

requirements.txt

@@ -2,7 +2,7 @@ gradio-rangeslider==0.0.8
 gradio==5.50.0
 numpy==2.4.6
 onnx==1.22.0
-onnxruntime==1.28.0
+onnxruntime==1.26.0
 opencv-python-headless==5.0.0.93
 tqdm==4.70.0
 scipy==1.18.0