pydn-ComfyUI-to-Python-Extension/tests/runtime/generated/upscale-model-loader.py

# 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()