face-swap-timestamp.py

# -*- coding:UTF-8 -*-
#!/usr/bin/env python
import numpy as np
import gradio as gr
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
from datetime import datetime

def swap_face(source_file, target_file, doFaceEnhancer):
    # Save input images
    source_path = "input.jpg"
    target_path = "target.jpg"
    source_image = Image.fromarray(source_file)
    source_image.save(source_path)
    target_image = Image.fromarray(target_file)
    target_image.save(target_path)
    
    print("source_path: ", source_path)
    print("target_path: ", target_path)
    
    # Set global paths
    roop.globals.source_path = source_path
    roop.globals.target_path = target_path
    
    # Generate timestamp-based output filename
    timestamp = datetime.now().strftime("%S%M%H%d%m%Y")
    output_path = f"Image{timestamp}.jpg"
    
    roop.globals.output_path = normalize_output_path(
        roop.globals.source_path, roop.globals.target_path, output_path
    )
    
    # Configure face processing options
    if doFaceEnhancer:
        roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        roop.globals.frame_processors = ["face_swapper"]
    
    # Set global parameters
    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 = 18
    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,
    )
    
    # Check frame processors
    for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
        if not frame_processor.pre_check():
            return
            
    start()
    return output_path

# Gradio interface setup
title = "Face - Интегратор"
description = r"""
"""
article = r"""
<br><br><br><br><br>
"""

app = gr.Interface(
    fn=swap_face, 
    title=title,
    description=description,
    article=article,
    inputs=[
        gr.Image(), 
        gr.Image(),
        gr.Checkbox(label="Применить алгоритм?", info="Улучшение качества изображения")
    ], 
    outputs="image"
)

app.launch()