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