ComfyUI/main.py

import comfy.options
comfy.options.enable_args_parsing()

import os
import importlib.util
import folder_paths
import time
import asyncio
import itertools
import shutil
import threading
import gc
import logging
import yaml

from comfy.cli_args import args
from server import BinaryEventTypes
import cuda_malloc
import execution
import server
import nodes
import comfy.model_management

def execute_prestartup_script():
    def execute_script(script_path):
        module_name = os.path.splitext(script_path)[0]
        try:
            spec = importlib.util.spec_from_file_location(module_name, script_path)
            module = importlib.util.module_from_spec(spec)
            spec.loader.exec_module(module)
            return True
        except Exception as e:
            logging.error(f"Failed to execute startup-script: {script_path} / {e}")
            return False

    if args.disable_all_custom_nodes:
        return

    node_paths = folder_paths.get_folder_paths("custom_nodes")
    node_prestartup_times = []

    for custom_node_path in node_paths:
        possible_modules = os.listdir(custom_node_path)

        for possible_module in possible_modules:
            module_path = os.path.join(custom_node_path, possible_module)
            if os.path.isfile(module_path) or possible_module.endswith(".disabled") or possible_module == "__pycache__":
                continue

            script_path = os.path.join(module_path, "prestartup_script.py")
            if os.path.exists(script_path):
                time_before = time.perf_counter()
                success = execute_script(script_path)
                node_prestartup_times.append((time.perf_counter() - time_before, module_path, success))

    if node_prestartup_times:
        logging.info("\nPrestartup times for custom nodes:")
        for time_taken, path, success in sorted(node_prestartup_times):
            status_message = "" if success else " (PRESTARTUP FAILED)"
            logging.info(f"{time_taken:6.1f} seconds{status_message}: {path}")
        logging.info()

def cuda_malloc_warning():
    device = comfy.model_management.get_torch_device()
    device_name = comfy.model_management.get_torch_device_name(device)
    if "cudaMallocAsync" in device_name:
        if any(b in device_name for b in cuda_malloc.blacklist):
            logging.warning("\nWARNING: this card most likely does not support cuda-malloc. If you get \"CUDA error\", please run ComfyUI with: --disable-cuda-malloc\n")

def prompt_worker(q, server):
    e = execution.PromptExecutor(server)
    last_gc_collect = 0
    need_gc = False
    gc_collect_interval = 10.0

    while True:
        timeout = 1000.0
        if need_gc:
            timeout = max(gc_collect_interval - (time.perf_counter() - last_gc_collect), 0.0)

        try:
            queue_item = q.get(timeout=timeout)
            if queue_item is not None:
                item, item_id = queue_item
                execution_start_time = time.perf_counter()
                prompt_id = item[1]
                server.last_prompt_id = prompt_id

                e.execute(item[2], prompt_id, item[3], item[4])
                need_gc = True
                q.task_done(item_id, e.outputs_ui, status=execution.PromptQueue.ExecutionStatus(
                    status_str='success' if e.success else 'error',
                    completed=e.success,
                    messages=e.status_messages))

                if server.client_id is not None:
                    server.send_sync("executing", {"node": None, "prompt_id": prompt_id}, server.client_id)

                logging.info(f"Prompt executed in {time.perf_counter() - execution_start_time:.2f} seconds")

            flags = q.get_flags()
            if flags.get("unload_models", flags.get("free_memory", False)):
                comfy.model_management.unload_all_models()
                need_gc = True
                last_gc_collect = 0

            if flags.get("free_memory", False):
                e.reset()
                need_gc = True
                last_gc_collect = 0

            if need_gc:
                current_time = time.perf_counter()
                if (current_time - last_gc_collect) > gc_collect_interval:
                    comfy.model_management.cleanup_models()
                    gc.collect()
                    comfy.model_management.soft_empty_cache()
                    last_gc_collect = current_time
                    need_gc = False

        except Exception as e:
            logging.error(f"Error in prompt_worker: {e}")

async def run(server, address='', port=8188, verbose=True, call_on_start=None):
    await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())

def hijack_progress(server):
    def hook(value, total, preview_image):
        comfy.model_management.throw_exception_if_processing_interrupted()
        progress = {"value": value, "max": total, "prompt_id": server.last_prompt_id, "node": server.last_node_id}

        server.send_sync("progress", progress, server.client_id)
        if preview_image is not None:
            server.send_sync(BinaryEventTypes.UNENCODED_PREVIEW_IMAGE, preview_image, server.client_id)
    
    comfy.utils.set_progress_bar_global_hook(hook)

def cleanup_temp():
    temp_dir = folder_paths.get_temp_directory()
    if os.path.exists(temp_dir):
        shutil.rmtree(temp_dir, ignore_errors=True)

def load_extra_path_config(yaml_path):
    with open(yaml_path, 'r') as stream:
        config = yaml.safe_load(stream)
    
    for c, conf in config.items():
        if conf is None:
            continue
        base_path = conf.pop("base_path", None)
        for x in conf:
            for y in conf[x].split("\n"):
                if y.strip():
                    full_path = os.path.join(base_path, y) if base_path else y
                    logging.info(f"Adding extra search path {x} {full_path}")
                    folder_paths.add_model_folder_path(x, full_path)

if __name__ == "__main__":
    if args.temp_directory:
        temp_dir = os.path.join(os.path.abspath(args.temp_directory), "temp")
        logging.info(f"Setting temp directory to: {temp_dir}")
        folder_paths.set_temp_directory(temp_dir)
    cleanup_temp()

    if args.windows_standalone_build:
        try:
            import new_updater
            new_updater.update_windows_updater()
        except ImportError as e:
            logging.error(f"Failed to import new_updater: {e}")

    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)
    server = server.PromptServer(loop)
    q = execution.PromptQueue(server)

    extra_model_paths_config_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "extra_model_paths.yaml")
    if os.path.isfile(extra_model_paths_config_path):
        load_extra_path_config(extra_model_paths_config_path)

    if args.extra_model_paths_config:
        for config_path in itertools.chain(*args.extra_model_paths_config):
            load_extra_path_config(config_path)

    nodes.init_extra_nodes(init_custom_nodes=not args.disable_all_custom_nodes)
    cuda_malloc_warning()
    server.add_routes()
    hijack_progress(server)

    threading.Thread(target=prompt_worker, daemon=True, args=(q, server)).start()

    if args.output_directory:
        output_dir = os.path.abspath(args.output_directory)
        logging.info(f"Setting output directory to: {output_dir}")
        folder_paths.set_output_directory(output_dir)

    folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints"))
    folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip"))
    folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae"))

    if args.input_directory:
        input_dir = os.path.abspath(args.input_directory)
        logging.info(f"Setting input directory to: {input_dir}")
        folder_paths.set_input_directory(input_dir)

    if args.quick_test_for_ci:
        exit(0)

    call_on_start = None
    if args.auto_launch:
        def startup_server(scheme, address, port):
            import webbrowser
            if os.name == 'nt' and address == '0.0.0.0':
                address = '127.0.0.1'
            webbrowser.open(f"{scheme}://{address}:{port}")
        call_on_start = startup_server

    try:
        loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
    except KeyboardInterrupt:
        logging.info("\nStopped server")
    except Exception as e:
        logging.error(f"Error during server run: {e}")

    cleanup_temp()