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from time import sleep
from typing import Optional
import cv2
import gradio
import numpy
from facefusion import logger, process_manager, state_manager, wording
from facefusion.audio import create_empty_audio_frame, get_audio_frame
from facefusion.common_helper import get_first
from facefusion.content_analyser import analyse_frame
from facefusion.core import conditional_append_reference_faces
from facefusion.face_analyser import get_average_face, get_many_faces
from facefusion.face_store import clear_reference_faces, clear_static_faces, get_reference_faces
from facefusion.filesystem import filter_audio_paths, is_image, is_video
from facefusion.processors.core import load_processor_module
from facefusion.typing import AudioFrame, Face, FaceSet, VisionFrame
from facefusion.uis.core import get_ui_component, get_ui_components, register_ui_component
from facefusion.uis.typing import ComponentOptions
from facefusion.vision import count_video_frame_total, get_video_frame, normalize_frame_color, read_static_image, read_static_images, resize_frame_resolution
PREVIEW_IMAGE : Optional[gradio.Image] = None
PREVIEW_FRAME_SLIDER : Optional[gradio.Slider] = None
def render() -> None:
global PREVIEW_IMAGE
global PREVIEW_FRAME_SLIDER
preview_image_options : ComponentOptions =\
{
'label': wording.get('uis.preview_image')
}
preview_frame_slider_options : ComponentOptions =\
{
'label': wording.get('uis.preview_frame_slider'),
'step': 1,
'minimum': 0,
'maximum': 100,
'visible': False
}
conditional_append_reference_faces()
reference_faces = get_reference_faces() if 'reference' in state_manager.get_item('face_selector_mode') else None
source_frames = read_static_images(state_manager.get_item('source_paths'))
source_faces = get_many_faces(source_frames)
source_face = get_average_face(source_faces)
source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
source_audio_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_audio_frame = get_audio_frame(source_audio_path, state_manager.get_item('output_video_fps'), state_manager.get_item('reference_frame_number'))
if numpy.any(temp_audio_frame):
source_audio_frame = temp_audio_frame
if is_image(state_manager.get_item('target_path')):
target_vision_frame = read_static_image(state_manager.get_item('target_path'))
preview_vision_frame = process_preview_frame(reference_faces, source_face, source_audio_frame, target_vision_frame)
preview_image_options['value'] = normalize_frame_color(preview_vision_frame)
if is_video(state_manager.get_item('target_path')):
temp_vision_frame = get_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
preview_vision_frame = process_preview_frame(reference_faces, source_face, source_audio_frame, temp_vision_frame)
preview_image_options['value'] = normalize_frame_color(preview_vision_frame)
preview_image_options['visible'] = True
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_IMAGE = gradio.Image(**preview_image_options)
PREVIEW_FRAME_SLIDER = gradio.Slider(**preview_frame_slider_options)
register_ui_component('preview_frame_slider', PREVIEW_FRAME_SLIDER)
def listen() -> None:
PREVIEW_FRAME_SLIDER.change(slide_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE, show_progress = 'hidden')
PREVIEW_FRAME_SLIDER.release(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE, show_progress = 'hidden')
reference_face_position_gallery = get_ui_component('reference_face_position_gallery')
if reference_face_position_gallery:
reference_face_position_gallery.select(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'source_audio',
'source_image',
'target_image',
'target_video'
]):
for method in [ 'upload', 'change', 'clear' ]:
getattr(ui_component, method)(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'target_image',
'target_video'
]):
for method in [ 'upload', 'change', 'clear' ]:
getattr(ui_component, method)(update_preview_frame_slider, outputs = PREVIEW_FRAME_SLIDER)
for ui_component in get_ui_components(
[
'face_debugger_items_checkbox_group',
'frame_colorizer_size_dropdown',
'face_mask_types_checkbox_group',
'face_mask_region_checkbox_group'
]):
ui_component.change(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'age_modifier_direction_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_enhancer_blend_slider',
'frame_colorizer_blend_slider',
'frame_enhancer_blend_slider',
'reference_face_distance_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_FRAME_SLIDER, outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'age_modifier_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_age_dropdown',
'face_selector_gender_dropdown',
'face_detector_model_dropdown',
'face_detector_size_dropdown',
'face_detector_angles_checkbox_group',
'face_landmarker_model_dropdown'
]):
ui_component.change(clear_and_update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'face_detector_score_slider',
'face_landmarker_score_slider'
]):
ui_component.release(clear_and_update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE)
def clear_and_update_preview_image(frame_number : int = 0) -> gradio.Image:
clear_reference_faces()
clear_static_faces()
return update_preview_image(frame_number)
def slide_preview_image(frame_number : int = 0) -> gradio.Image:
if is_video(state_manager.get_item('target_path')):
preview_vision_frame = normalize_frame_color(get_video_frame(state_manager.get_item('target_path'), frame_number))
preview_vision_frame = resize_frame_resolution(preview_vision_frame, (640, 640))
return gradio.Image(value = preview_vision_frame)
return gradio.Image(value = None)
def update_preview_image(frame_number : int = 0) -> gradio.Image:
while process_manager.is_checking():
sleep(0.5)
conditional_append_reference_faces()
reference_faces = get_reference_faces() if 'reference' in state_manager.get_item('face_selector_mode') else None
source_frames = read_static_images(state_manager.get_item('source_paths'))
source_faces = get_many_faces(source_frames)
source_face = get_average_face(source_faces)
source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
source_audio_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_audio_frame = get_audio_frame(source_audio_path, state_manager.get_item('output_video_fps'), reference_audio_frame_number)
if numpy.any(temp_audio_frame):
source_audio_frame = temp_audio_frame
if is_image(state_manager.get_item('target_path')):
target_vision_frame = read_static_image(state_manager.get_item('target_path'))
preview_vision_frame = process_preview_frame(reference_faces, source_face, source_audio_frame, target_vision_frame)
preview_vision_frame = normalize_frame_color(preview_vision_frame)
return gradio.Image(value = preview_vision_frame)
if is_video(state_manager.get_item('target_path')):
temp_vision_frame = get_video_frame(state_manager.get_item('target_path'), frame_number)
preview_vision_frame = process_preview_frame(reference_faces, source_face, source_audio_frame, temp_vision_frame)
preview_vision_frame = normalize_frame_color(preview_vision_frame)
return gradio.Image(value = preview_vision_frame)
return gradio.Image(value = None)
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)
def process_preview_frame(reference_faces : FaceSet, source_face : Face, source_audio_frame : AudioFrame, target_vision_frame : VisionFrame) -> VisionFrame:
target_vision_frame = resize_frame_resolution(target_vision_frame, (640, 640))
source_vision_frame = target_vision_frame.copy()
if analyse_frame(target_vision_frame):
return cv2.GaussianBlur(target_vision_frame, (99, 99), 0)
for processor in state_manager.get_item('processors'):
processor_module = load_processor_module(processor)
logger.disable()
if processor_module.pre_process('preview'):
logger.enable()
target_vision_frame = processor_module.process_frame(
{
'reference_faces': reference_faces,
'source_face': source_face,
'source_audio_frame': source_audio_frame,
'source_vision_frame': source_vision_frame,
'target_vision_frame': target_vision_frame
})
return target_vision_frame
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