mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-09-13 14:17:09 +08:00
151 lines
4.9 KiB
Python
151 lines
4.9 KiB
Python
import os
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import sys
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from typing import Sequence, Mapping, Any, Union
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import torch
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def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
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"""Returns the value at the given index of a sequence or mapping.
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If the object is a sequence (like list or string), returns the value at the given index.
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If the object is a mapping (like a dictionary), returns the value at the index-th key.
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Some return a dictionary, in these cases, we look for the "results" key
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Args:
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obj (Union[Sequence, Mapping]): The object to retrieve the value from.
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index (int): The index of the value to retrieve.
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Returns:
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Any: The value at the given index.
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Raises:
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IndexError: If the index is out of bounds for the object and the object is not a mapping.
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"""
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try:
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return obj[index]
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except KeyError:
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return obj["result"][index]
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def find_path(name: str, path: str = None) -> str:
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"""
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Recursively looks at parent folders starting from the given path until it finds the given name.
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Returns the path as a Path object if found, or None otherwise.
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"""
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# If no path is given, use the current working directory
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if path is None:
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path = os.getcwd()
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# Check if the current directory contains the name
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if name in os.listdir(path):
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path_name = os.path.join(path, name)
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print(f"{name} found: {path_name}")
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return path_name
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# Get the parent directory
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parent_directory = os.path.dirname(path)
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# If the parent directory is the same as the current directory, we've reached the root and stop the search
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if parent_directory == path:
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return None
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# Recursively call the function with the parent directory
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return find_path(name, parent_directory)
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def add_comfyui_directory_to_sys_path() -> None:
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"""
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Add 'ComfyUI' to the sys.path
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"""
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comfyui_path = find_path("ComfyUI")
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if comfyui_path is not None and os.path.isdir(comfyui_path):
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sys.path.append(comfyui_path)
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print(f"'{comfyui_path}' added to sys.path")
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def add_extra_model_paths() -> None:
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"""
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Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path.
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"""
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from main import load_extra_path_config
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extra_model_paths = find_path("extra_model_paths.yaml")
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if extra_model_paths is not None:
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load_extra_path_config(extra_model_paths)
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else:
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print("Could not find the extra_model_paths config file.")
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from nodes import NODE_CLASS_MAPPINGS, LoadImage, init_extra_nodes
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def image_text_matting(image_path, text, abs_path=True):
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add_comfyui_directory_to_sys_path()
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add_extra_model_paths()
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init_extra_nodes(True)
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with torch.inference_mode():
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sammodelloader_segment_anything = NODE_CLASS_MAPPINGS[
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"SAMModelLoader (segment anything)"
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]()
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sammodelloader_segment_anything_1 = sammodelloader_segment_anything.main(
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model_name="sam_hq_vit_h (2.57GB)"
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)
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groundingdinomodelloader_segment_anything = NODE_CLASS_MAPPINGS[
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"GroundingDinoModelLoader (segment anything)"
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]()
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groundingdinomodelloader_segment_anything_2 = (
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groundingdinomodelloader_segment_anything.main(
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model_name="GroundingDINO_SwinT_OGC (694MB)"
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)
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)
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mattingmodelloader = NODE_CLASS_MAPPINGS["MattingModelLoader"]()
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mattingmodelloader_8 = mattingmodelloader.main(
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model_name="vitmatte_small (103 MB)"
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)
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loadimage = LoadImage()
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loadimage_12 = loadimage.load_image(image=image_path, abs_path=abs_path)
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groundingdinosamsegment_segment_anything = NODE_CLASS_MAPPINGS[
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"GroundingDinoSAMSegment (segment anything)"
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]()
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createtrimap = NODE_CLASS_MAPPINGS["CreateTrimap"]()
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applymatting = NODE_CLASS_MAPPINGS["ApplyMatting"]()
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groundingdinosamsegment_segment_anything_3 = (
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groundingdinosamsegment_segment_anything.main(
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prompt=text,
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threshold=0.3,
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sam_model=get_value_at_index(sammodelloader_segment_anything_1, 0),
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grounding_dino_model=get_value_at_index(
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groundingdinomodelloader_segment_anything_2, 0
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),
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image=get_value_at_index(loadimage_12, 0),
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)
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)
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createtrimap_11 = createtrimap.main(
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kernel_size=20.86,
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mask=get_value_at_index(groundingdinosamsegment_segment_anything_3, 1),
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)
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applymatting_9 = applymatting.main(
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matting_model=get_value_at_index(mattingmodelloader_8, 0),
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matting_preprocessor=get_value_at_index(mattingmodelloader_8, 1),
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image=get_value_at_index(loadimage_12, 0),
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trimap=get_value_at_index(createtrimap_11, 0),
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)
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output_image = get_value_at_index(applymatting_9, 1)
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return output_image
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if __name__ == "__main__":
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pass |