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Create app.py
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app.py
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| 1 |
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import gradio as gr
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import numpy as np
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import random
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import multiprocessing
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import subprocess
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import sys
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import time
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import signal
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import json
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import os
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import requests
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from loguru import logger
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from decouple import config
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from pathlib import Path
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from PIL import Image
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import io
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URL="http://127.0.0.1"
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OUTPUT_DIR = config('OUTPUT_DIR')
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INPUT_DIR = config('INPUT_DIR')
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COMF_PATH = config('COMF_PATH')
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import torch
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import spaces
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print(f"Is CUDA available: {torch.cuda.is_available()}")
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print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
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print(torch.version.cuda)
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device = torch.cuda.get_device_name(torch.cuda.current_device())
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print(device)
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def wait_for_image_with_prefix(folder, prefix):
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def is_file_ready(file_path):
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initial_size = os.path.getsize(file_path)
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time.sleep(1)
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return initial_size == os.path.getsize(file_path)
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files = os.listdir(folder)
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image_files = [f for f in files if f.lower().startswith(prefix.lower()) and
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f.lower().endswith(('.png', '.jpg', '.jpeg'))]
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if image_files:
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# Sort by modification time to get the latest file
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image_files.sort(key=lambda x: os.path.getmtime(os.path.join(folder, x)), reverse=True)
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latest_image = os.path.join(folder, image_files[0])
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if is_file_ready(latest_image):
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# Wait a bit more to ensure the file is completely written
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time.sleep(3)
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return latest_image
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return None
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def delete_image_file(file_path):
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try:
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if os.path.exists(file_path):
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os.remove(file_path)
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logger.debug(f"file {file_path} deleted")
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else:
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logger.debug(f"file {file_path} is not exist")
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except Exception as e:
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logger.debug(f"error {file_path}: {str(e)}")
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def start_queue(prompt_workflow, port):
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p = {"prompt": prompt_workflow}
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data = json.dumps(p).encode('utf-8')
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requests.post(f"{URL}:{port}/prompt", data=data)
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def check_server_ready(port):
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try:
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response = requests.get(f"{URL}:{port}/history/123", timeout=5)
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return response.status_code == 200
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except requests.RequestException:
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return False
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@spaces.GPU(duration=240)
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def generate_image(prompt, image):
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prefix_filename = str(random.randint(0, 999999))
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prompt = prompt.replace('ComfyUI', prefix_filename)
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prompt = json.loads(prompt)
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image = Image.fromarray(image)
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image.save(INPUT_DIR + '/input.png', format='PNG')
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process = None
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new_port = str(random.randint(8123, 8200))
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try:
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# Запускаем скрипт как подпроцесс
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process = subprocess.Popen([sys.executable, COMF_PATH, "--listen", "127.0.0.1", "--port", new_port])
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logger.debug(f'Subprocess started with PID: {process.pid}')
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# Ожидание запуска сервера
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for _ in range(30): # Максимум 20 секунд ожидания
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if check_server_ready(new_port):
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break
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time.sleep(1)
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else:
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raise TimeoutError("Server did not start in time")
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start_queue(prompt, new_port)
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# Ожидание нового изображения
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timeout = 240 # Максимальное время ожидания в секундах
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start_time = time.time()
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while time.time() - start_time < timeout:
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latest_image = wait_for_image_with_prefix(OUTPUT_DIR, prefix_filename)
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if latest_image:
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logger.debug(f"file is: {latest_image}")
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try:
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return Image.open(latest_image)
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finally:
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delete_image_file(latest_image)
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delete_image_file(INPUT_DIR + '/input.png')
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time.sleep(1)
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raise TimeoutError("New image was not generated in time")
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except Exception as e:
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logger.error(f"Error in generate_image: {e}")
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finally:
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if process and process.poll() is None:
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process.terminate()
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logger.debug("process.terminate()")
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try:
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logger.debug("process.wait(timeout=5)")
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process.wait(timeout=5)
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except subprocess.TimeoutExpired:
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logger.debug("process.kill()")
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process.kill()
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if __name__ == "__main__":
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demo = gr.Interface(fn=generate_image, inputs=[
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| 148 |
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"text",
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gr.Image(image_mode='RGBA', type="numpy")
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],
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outputs=[
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| 152 |
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gr.Image(type="numpy", image_mode='RGBA')
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])
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demo.launch(debug=True)
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| 155 |
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logger.debug('demo.launch()')
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logger.info("Основной скрипт завершил работу.")
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