object_remover.py

import os
import random
import sys
from typing import Sequence, Mapping, Any, Union
import torch


def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
    """Returns the value at the given index of a sequence or mapping.

    If the object is a sequence (like list or string), returns the value at the given index.
    If the object is a mapping (like a dictionary), returns the value at the index-th key.

    Some return a dictionary, in these cases, we look for the "results" key

    Args:
        obj (Union[Sequence, Mapping]): The object to retrieve the value from.
        index (int): The index of the value to retrieve.

    Returns:
        Any: The value at the given index.

    Raises:
        IndexError: If the index is out of bounds for the object and the object is not a mapping.
    """
    try:
        return obj[index]
    except KeyError:
        return obj["result"][index]


def find_path(name: str, path: str = None) -> str:
    """
    Recursively looks at parent folders starting from the given path until it finds the given name.
    Returns the path as a Path object if found, or None otherwise.
    """
    # If no path is given, use the current working directory
    if path is None:
        path = os.getcwd()

    # Check if the current directory contains the name
    if name in os.listdir(path):
        path_name = os.path.join(path, name)
        print(f"{name} found: {path_name}")
        return path_name

    # Get the parent directory
    parent_directory = os.path.dirname(path)

    # If the parent directory is the same as the current directory, we've reached the root and stop the search
    if parent_directory == path:
        return None

    # Recursively call the function with the parent directory
    return find_path(name, parent_directory)


def add_comfyui_directory_to_sys_path() -> None:
    """
    Add 'ComfyUI' to the sys.path
    """
    comfyui_path = find_path("ComfyUI")
    if comfyui_path is not None and os.path.isdir(comfyui_path):
        sys.path.append(comfyui_path)
        print(f"'{comfyui_path}' added to sys.path")


def add_extra_model_paths() -> None:
    """
    Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path.
    """
    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 app_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.")


add_comfyui_directory_to_sys_path()
add_extra_model_paths()


def import_custom_nodes() -> None:
    """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS

    This function sets up a new asyncio event loop, initializes the PromptServer,
    creates a PromptQueue, and initializes the custom nodes.
    """
    import asyncio
    import execution
    from nodes import init_extra_nodes
    import server

    # Creating a new event loop and setting it as the default loop
    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)

    # Creating an instance of PromptServer with the loop
    server_instance = server.PromptServer(loop)
    execution.PromptQueue(server_instance)

    # Initializing custom nodes
    init_extra_nodes()


from nodes import NODE_CLASS_MAPPINGS


def main():
    import_custom_nodes()
    with torch.inference_mode():
        loadimage = NODE_CLASS_MAPPINGS["LoadImage"]()
        loadimage_1 = loadimage.load_image(image="house.png")

        yoloworld_modelloader_zho = NODE_CLASS_MAPPINGS["Yoloworld_ModelLoader_Zho"]()
        yoloworld_modelloader_zho_3 = yoloworld_modelloader_zho.load_yolo_world_model(
            yolo_world_model="yolo_world/m"
        )

        esam_modelloader_zho = NODE_CLASS_MAPPINGS["ESAM_ModelLoader_Zho"]()
        esam_modelloader_zho_4 = esam_modelloader_zho.load_esam_model(device="CUDA")

        inpaint_loadinpaintmodel = NODE_CLASS_MAPPINGS["INPAINT_LoadInpaintModel"]()
        inpaint_loadinpaintmodel_13 = inpaint_loadinpaintmodel.load(
            model_name="MAT_Places512_G_fp16.safetensors"
        )

        yoloworld_esam_zho = NODE_CLASS_MAPPINGS["Yoloworld_ESAM_Zho"]()
        yoloworld_esam_zho_2 = yoloworld_esam_zho.yoloworld_esam_image(
            categories="car",
            confidence_threshold=0.10000000000000002,
            iou_threshold=0.10000000000000002,
            box_thickness=2,
            text_thickness=2,
            text_scale=1,
            with_confidence=True,
            with_class_agnostic_nms=False,
            with_segmentation=True,
            mask_combined=True,
            mask_extracted=True,
            mask_extracted_index=0,
            yolo_world_model=get_value_at_index(yoloworld_modelloader_zho_3, 0),
            esam_model=get_value_at_index(esam_modelloader_zho_4, 0),
            image=get_value_at_index(loadimage_1, 0),
        )

        growmask = NODE_CLASS_MAPPINGS["GrowMask"]()
        growmask_8 = growmask.expand_mask(
            expand=30,
            tapered_corners=True,
            mask=get_value_at_index(yoloworld_esam_zho_2, 1),
        )

        inpaint_inpaintwithmodel = NODE_CLASS_MAPPINGS["INPAINT_InpaintWithModel"]()
        inpaint_inpaintwithmodel_12 = inpaint_inpaintwithmodel.inpaint(
            seed=random.randint(1, 2**64),
            inpaint_model=get_value_at_index(inpaint_loadinpaintmodel_13, 0),
            image=get_value_at_index(loadimage_1, 0),
            mask=get_value_at_index(growmask_8, 0),
        )

        vaeloader = NODE_CLASS_MAPPINGS["VAELoader"]()
        vaeloader_20 = vaeloader.load_vae(
            vae_name="vae-ft-mse-840000-ema-pruned.safetensors"
        )

        vaeencode = NODE_CLASS_MAPPINGS["VAEEncode"]()
        vaeencode_18 = vaeencode.encode(
            pixels=get_value_at_index(inpaint_inpaintwithmodel_12, 0),
            vae=get_value_at_index(vaeloader_20, 0),
        )

        masktoimage = NODE_CLASS_MAPPINGS["MaskToImage"]()
        vaedecode = NODE_CLASS_MAPPINGS["VAEDecode"]()
        image_comparer_rgthree = NODE_CLASS_MAPPINGS["Image Comparer (rgthree)"]()
        saveimage = NODE_CLASS_MAPPINGS["SaveImage"]()

        for q in range(1):
            masktoimage_9 = masktoimage.mask_to_image(
                mask=get_value_at_index(growmask_8, 0)
            )

            vaedecode_19 = vaedecode.decode(
                samples=get_value_at_index(vaeencode_18, 0),
                vae=get_value_at_index(vaeloader_20, 0),
            )

            image_comparer_rgthree_17 = image_comparer_rgthree.compare_images(
                image_a=get_value_at_index(vaedecode_19, 0),
                image_b=get_value_at_index(loadimage_1, 0),
            )

            saveimage_24 = saveimage.save_images(
                filename_prefix="ComfyUI",
                images=get_value_at_index(inpaint_inpaintwithmodel_12, 0),
            )


if __name__ == "__main__":
    main()