# -* coding:UTF-8 -* # !/usr/bin/env python import numpy as np import gradio as gr from gradio import themes import roop.globals from roop.core import ( start, decode_execution_providers, suggest_max_memory, suggest_execution_threads, ) from roop.processors.frame.core import get_frame_processors_modules from roop.utilities import normalize_output_path import os from PIL import Image def swap_face(source_file, target_file, doFaceEnhancer, video_quality): source_path = "input.jpg" target_path = "target.mp4" # Save source image source_image = Image.fromarray(source_file) source_image.save(source_path) # Copy the target video to the working directory os.rename(target_file, target_path) print("source_path: ", source_path) print("target_path: ", target_path) roop.globals.video_quality = video_quality roop.globals.source_path = source_path roop.globals.target_path = target_path output_path = "output.mp4" roop.globals.output_path = normalize_output_path( roop.globals.source_path, roop.globals.target_path, output_path ) if doFaceEnhancer: roop.globals.frame_processors = ["face_swapper", "face_enhancer"] else: roop.globals.frame_processors = ["face_swapper"] roop.globals.headless = True roop.globals.keep_fps = True roop.globals.keep_audio = True roop.globals.keep_frames = False roop.globals.many_faces = False roop.globals.video_encoder = "libx264" roop.globals.video_quality = 10 roop.globals.max_memory = suggest_max_memory() roop.globals.execution_providers = decode_execution_providers(["cuda"]) roop.globals.execution_threads = suggest_execution_threads() print( "start process", roop.globals.source_path, roop.globals.target_path, roop.globals.output_path, ) for frame_processor in get_frame_processors_modules( roop.globals.frame_processors ): if not frame_processor.pre_check(): return start() return output_path with gr.Blocks( title="ROOP DeepFake Video", theme=themes.Soft(primary_hue="blue", secondary_hue="blue"), # Apply blue theme ) as demo: gr.HTML(f'
') # Header image gr.Markdown( """ ## Create DeepFake Video Upload a source image and a target video, select whether to enable face enhancer, many-face mode and adjust video quality. Then click 'Submit' to swap faces in the video. **Credits:** This study was conducted in the College of Creative Design and Entertainment Technology laboratory at Dhurakij Pundit University by Asst. Prof. Banyapon Poolsawas. The project builds upon the s0md3v/roop repository (https://github.com/s0md3v/roop) for face swapping experiments with video files in the Generative AI and Machine Learning course. """ ) with gr.Row(): with gr.Column(): source_image = gr.Image(label="Source Image", type="numpy") target_video = gr.Video(label="Target Video") face_enhancer = gr.Checkbox(label="Enable Face Enhancer") video_quality = gr.Slider(minimum=0, maximum=100, step=1, value=18, label="Output Video Quality (0 is Best, 100 is Worst)") submit = gr.Button("Submit") with gr.Column(): output_video = gr.Video(label="Output Video") submit.click(swap_face, inputs=[source_image, target_video, face_enhancer, video_quality], outputs=output_video) demo.launch()