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# -* 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'<div style="text-align: center;"><img src="https://www.dpu.ac.th/img/Logo_update_080720.png" width="200"></div>') # 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() | |