# Imports import json import os import random import sys from typing import Sequence, Mapping, Any, Union def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any: """Return a sequence or mapping result item by index.""" try: return obj[index] except KeyError: return obj["result"][index] def get_comfyui_path() -> str: """Return the configured ComfyUI path, preferring COMFYUI_PATH when set.""" comfyui_path = os.environ.get("COMFYUI_PATH") if comfyui_path: return comfyui_path return find_path("ComfyUI") def find_path(name: str, path: str = None) -> str: """Recursively search parent folders until the named entry is found.""" if path is None: path = os.getcwd() if name in os.listdir(path): path_name = os.path.join(path, name) print(f"{name} found: {path_name}") return path_name parent_directory = os.path.dirname(path) if parent_directory == path: return None return find_path(name, parent_directory) def add_comfyui_directory_to_sys_path() -> None: """Add the ComfyUI checkout to sys.path.""" comfyui_path = get_comfyui_path() if comfyui_path is not None and os.path.isdir(comfyui_path): if comfyui_path in sys.path: sys.path.remove(comfyui_path) sys.path.insert(0, comfyui_path) print(f"'{comfyui_path}' added to sys.path") def add_extra_model_paths() -> None: """Load ComfyUI extra model paths configuration when available.""" try: from main import load_extra_path_config except ImportError: print( "Could not import load_extra_path_config from main.py. Looking in utils.extra_config instead." ) from utils.extra_config import load_extra_path_config extra_model_paths = find_path("extra_model_paths.yaml") if extra_model_paths is not None: load_extra_path_config(extra_model_paths) else: print("Could not find the extra_model_paths config file.") def bootstrap_comfyui_runtime() -> None: """Mirror the allocator-related ComfyUI startup steps before torch import.""" add_comfyui_directory_to_sys_path() import comfy.options comfy.options.enable_args_parsing() from comfy.cli_args import args if os.name == "nt": os.environ["MIMALLOC_PURGE_DELAY"] = "0" if args.default_device is not None: default_dev = args.default_device devices = list(range(32)) devices.remove(default_dev) devices.insert(0, default_dev) devices = ",".join(map(str, devices)) os.environ["CUDA_VISIBLE_DEVICES"] = str(devices) os.environ["HIP_VISIBLE_DEVICES"] = str(devices) if args.cuda_device is not None: os.environ["CUDA_VISIBLE_DEVICES"] = str(args.cuda_device) os.environ["HIP_VISIBLE_DEVICES"] = str(args.cuda_device) os.environ["ASCEND_RT_VISIBLE_DEVICES"] = str(args.cuda_device) if args.oneapi_device_selector is not None: os.environ["ONEAPI_DEVICE_SELECTOR"] = args.oneapi_device_selector if args.deterministic and "CUBLAS_WORKSPACE_CONFIG" not in os.environ: os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" import cuda_malloc if "rocm" in cuda_malloc.get_torch_version_noimport(): os.environ["OCL_SET_SVM_SIZE"] = "262144" def cleanup_comfyui_runtime(unload_models: bool | None = None) -> None: """Best-effort cleanup for embedded or repeated generated-script execution.""" import gc should_unload = unload_models if should_unload is None: should_unload = os.environ.get( "COMFYUI_TOPYTHON_UNLOAD_MODELS", "" ).lower() in { "1", "true", "yes", "on", } try: import comfy.model_management as model_management except ModuleNotFoundError: gc.collect() return if hasattr(model_management, "cleanup_models_gc"): model_management.cleanup_models_gc() if should_unload and hasattr(model_management, "unload_all_models"): model_management.unload_all_models() if hasattr(model_management, "soft_empty_cache"): model_management.soft_empty_cache() gc.collect() def import_custom_nodes() -> None: """Initialize ComfyUI custom nodes in the exporter runtime.""" comfyui_path = get_comfyui_path() if comfyui_path and comfyui_path not in sys.path: sys.path.insert(0, comfyui_path) import asyncio import execution from nodes import init_extra_nodes if comfyui_path in sys.path: sys.path.remove(comfyui_path) sys.path.insert(0, comfyui_path) import server loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) server_instance = server.PromptServer(loop) execution.PromptQueue(server_instance) asyncio.run(init_extra_nodes()) # Workflow data def build_workflow() -> dict[str, Any]: return { "1": {"class_type": "LoadImage", "inputs": {"image": "e2e_upscale_input.png"}}, "2": { "class_type": "UpscaleModelLoader", "inputs": {"model_name": "RealESRGAN_x4plus.safetensors"}, }, "3": { "class_type": "ImageUpscaleWithModel", "inputs": {"upscale_model": ["2", 0], "image": ["1", 0]}, }, "4": { "class_type": "SaveImage", "inputs": { "filename_prefix": "E2E_upscale_model_loader", "images": ["3", 0], }, }, } def build_extra_pnginfo() -> dict[str, Any] | None: return None workflow = build_workflow() prompt = json.loads(json.dumps(workflow)) extra_pnginfo = build_extra_pnginfo() # Workflow execution def main(unload_models: bool | None = None): bootstrap_comfyui_runtime() add_extra_model_paths() import_custom_nodes() # Node imports from nodes import LoadImage, NODE_CLASS_MAPPINGS, SaveImage import torch try: with torch.inference_mode(): loadimage = LoadImage() loadimage_1 = loadimage.load_image(image="e2e_upscale_input.png") upscalemodelloader = NODE_CLASS_MAPPINGS["UpscaleModelLoader"]() upscalemodelloader_2 = upscalemodelloader.EXECUTE_NORMALIZED( model_name="RealESRGAN_x4plus.safetensors" ) imageupscalewithmodel = NODE_CLASS_MAPPINGS["ImageUpscaleWithModel"]() saveimage = SaveImage() for q in range(1): imageupscalewithmodel_3 = imageupscalewithmodel.EXECUTE_NORMALIZED( upscale_model=get_value_at_index(upscalemodelloader_2, 0), image=get_value_at_index(loadimage_1, 0), ) saveimage_4 = saveimage.save_images( filename_prefix="E2E_upscale_model_loader", images=get_value_at_index(imageupscalewithmodel_3, 0), prompt=prompt, extra_pnginfo=extra_pnginfo, ) finally: cleanup_comfyui_runtime(unload_models=unload_models) # Entrypoint if __name__ == "__main__": main()