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()