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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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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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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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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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for _ in range(30): |
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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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timeout = 240 |
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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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"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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gr.Image(type="numpy", image_mode='RGBA') |
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]) |
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demo.launch(debug=True) |
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logger.debug('demo.launch()') |
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logger.info("Основной скрипт завершил работу.") |