Refactor reusable workflow tasks (#980)

* Refactor reusable workflow tasks

* Refactor reusable workflow tasks

* Make it borderline again
This commit is contained in:
Henry Ruhs
2025-11-12 15:04:28 +01:00
committed by henryruhs
parent cfa2216d0c
commit 0d2a434e61
3 changed files with 68 additions and 33 deletions
+15 -1
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@@ -1,4 +1,6 @@
from facefusion import logger, process_manager, translator
from facefusion import logger, process_manager, state_manager, translator
from facefusion.temp_helper import clear_temp_directory, create_temp_directory
from facefusion.types import ErrorCode
def is_process_stopping() -> bool:
@@ -6,3 +8,15 @@ def is_process_stopping() -> bool:
process_manager.end()
logger.info(translator.get('processing_stopped'), __name__)
return process_manager.is_pending()
def setup() -> ErrorCode:
create_temp_directory(state_manager.get_item('target_path'))
logger.debug(translator.get('creating_temp'), __name__)
return 0
def clear() -> ErrorCode:
clear_temp_directory(state_manager.get_item('target_path'))
logger.debug(translator.get('clearing_temp'), __name__)
return 0
+10 -16
View File
@@ -1,26 +1,28 @@
from functools import partial
from facefusion import ffmpeg
from facefusion import logger, process_manager, state_manager, translator
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator
from facefusion.audio import create_empty_audio_frame
from facefusion.content_analyser import analyse_image
from facefusion.filesystem import is_image
from facefusion.processors.core import get_processors_modules
from facefusion.temp_helper import clear_temp_directory, create_temp_directory, get_temp_file_path
from facefusion.temp_helper import get_temp_file_path
from facefusion.time_helper import calculate_end_time
from facefusion.types import ErrorCode
from facefusion.vision import conditional_merge_vision_mask, detect_image_resolution, extract_vision_mask, pack_resolution, read_static_image, read_static_images, restrict_image_resolution, scale_resolution, write_image
from facefusion.workflows.core import is_process_stopping
from facefusion.workflows.core import clear, is_process_stopping, setup
def process(start_time : float) -> ErrorCode:
tasks =\
[
analyse_image,
clear,
setup,
prepare_image,
process_image,
partial(finalize_image, start_time)
partial(finalize_image, start_time),
clear
]
process_manager.start()
for task in tasks:
@@ -34,14 +36,9 @@ def process(start_time : float) -> ErrorCode:
return 0
def setup() -> ErrorCode:
if analyse_image(state_manager.get_item('target_path')):
def analyse_image() -> ErrorCode:
if content_analyser.analyse_image(state_manager.get_item('target_path')):
return 3
logger.debug(translator.get('clearing_temp'), __name__)
clear_temp_directory(state_manager.get_item('target_path'))
logger.debug(translator.get('creating_temp'), __name__)
create_temp_directory(state_manager.get_item('target_path'))
return 0
@@ -102,9 +99,6 @@ def finalize_image(start_time : float) -> ErrorCode:
else:
logger.warn(translator.get('finalizing_image_skipped'), __name__)
logger.debug(translator.get('clearing_temp'), __name__)
clear_temp_directory(state_manager.get_item('target_path'))
if is_image(state_manager.get_item('output_path')):
logger.info(translator.get('processing_image_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
else:
+43 -16
View File
@@ -4,30 +4,32 @@ from functools import partial
import numpy
from tqdm import tqdm
from facefusion import ffmpeg
from facefusion import logger, process_manager, state_manager, translator, video_manager
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator, video_manager
from facefusion.audio import create_empty_audio_frame, get_audio_frame, get_voice_frame
from facefusion.common_helper import get_first
from facefusion.content_analyser import analyse_video
from facefusion.filesystem import filter_audio_paths, is_video
from facefusion.processors.core import get_processors_modules
from facefusion.temp_helper import clear_temp_directory, create_temp_directory, move_temp_file, resolve_temp_frame_paths
from facefusion.temp_helper import move_temp_file, resolve_temp_frame_paths
from facefusion.time_helper import calculate_end_time
from facefusion.types import ErrorCode
from facefusion.vision import conditional_merge_vision_mask, detect_video_resolution, extract_vision_mask, pack_resolution, read_static_image, read_static_images, read_static_video_frame, restrict_trim_frame, restrict_video_fps, restrict_video_resolution, scale_resolution, write_image
from facefusion.workflows.core import is_process_stopping
from facefusion.workflows.core import clear, is_process_stopping, setup
def process(start_time : float) -> ErrorCode:
tasks =\
[
analyse_video,
clear,
setup,
extract_frames,
process_video,
merge_frames,
restore_audio,
partial(finalize_video, start_time)
partial(finalize_video, start_time),
clear
]
process_manager.start()
for task in tasks:
@@ -41,16 +43,11 @@ def process(start_time : float) -> ErrorCode:
return 0
def setup() -> ErrorCode:
def analyse_video() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
if analyse_video(state_manager.get_item('target_path'), trim_frame_start, trim_frame_end):
if content_analyser.analyse_video(state_manager.get_item('target_path'), trim_frame_start, trim_frame_end):
return 3
logger.debug(translator.get('clearing_temp'), __name__)
clear_temp_directory(state_manager.get_item('target_path'))
logger.debug(translator.get('creating_temp'), __name__)
create_temp_directory(state_manager.get_item('target_path'))
return 0
@@ -105,6 +102,39 @@ def process_video() -> ErrorCode:
return 0
def process_temp_frame(temp_frame_path : str, frame_number : int) -> bool:
reference_vision_frame = read_static_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
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')))
temp_video_fps = restrict_video_fps(state_manager.get_item('target_path'), state_manager.get_item('output_video_fps'))
target_vision_frame = read_static_image(temp_frame_path, 'rgba')
temp_vision_frame = target_vision_frame.copy()
temp_vision_mask = extract_vision_mask(temp_vision_frame)
source_audio_frame = get_audio_frame(source_audio_path, temp_video_fps, frame_number)
source_voice_frame = get_voice_frame(source_audio_path, temp_video_fps, frame_number)
if not numpy.any(source_audio_frame):
source_audio_frame = create_empty_audio_frame()
if not numpy.any(source_voice_frame):
source_voice_frame = create_empty_audio_frame()
for processor_module in get_processors_modules(state_manager.get_item('processors')):
temp_vision_frame, temp_vision_mask = processor_module.process_frame(
{
'reference_vision_frame': reference_vision_frame,
'source_vision_frames': source_vision_frames,
'source_audio_frame': source_audio_frame,
'source_voice_frame': source_voice_frame,
'target_vision_frame': target_vision_frame[:, :, :3],
'temp_vision_frame': temp_vision_frame[:, :, :3],
'temp_vision_mask': temp_vision_mask
})
temp_vision_frame = conditional_merge_vision_mask(temp_vision_frame, temp_vision_mask)
return write_image(temp_frame_path, temp_vision_frame)
def merge_frames() -> ErrorCode:
trim_frame_start, trim_frame_end = restrict_trim_frame(state_manager.get_item('target_path'), state_manager.get_item('trim_frame_start'), state_manager.get_item('trim_frame_end'))
output_video_resolution = scale_resolution(detect_video_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_video_scale'))
@@ -186,9 +216,6 @@ def process_temp_frame(temp_frame_path : str, frame_number : int) -> bool:
def finalize_video(start_time : float) -> ErrorCode:
logger.debug(translator.get('clearing_temp'), __name__)
clear_temp_directory(state_manager.get_item('target_path'))
if is_video(state_manager.get_item('output_path')):
logger.info(translator.get('processing_video_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
else: