86 lines
3.3 KiB
Python
86 lines
3.3 KiB
Python
import os
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import comfy.utils
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import comfy.sd
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import torch
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class DiffusersVAELoader:
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@staticmethod
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def get_base_path():
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base_path = os.path.join(os.path.dirname(__file__), '..', '..', 'models', 'diffusers')
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base_path = os.path.abspath(base_path)
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if not os.path.exists(base_path):
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raise FileNotFoundError(f"DiffusersVAELoader: The base path '{base_path}' does not exist.")
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return base_path
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@staticmethod
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def get_model_directories(base_path):
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model_dirs = []
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if os.path.exists(base_path):
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for root, dirs, files in os.walk(base_path):
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if "model_index.json" in files:
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model_dirs.append(os.path.relpath(root, base_path))
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print(f"DiffusersVAELoader: Found model directory: {os.path.relpath(root, base_path)}")
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dirs[:] = [d for d in dirs if d not in ["vae", "unet", "text_encoder", "text_encoder_2"]]
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else:
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print(f"DiffusersVAELoader: Path does not exist: {base_path}")
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return model_dirs
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@staticmethod
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def find_model_file(directory):
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for file in os.listdir(directory):
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if file.endswith(".safetensors") or file.endswith(".bin"):
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return file
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raise FileNotFoundError(f"DiffusersVAELoader: No .safetensors file or .bin file found in {directory}")
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@classmethod
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def INPUT_TYPES(cls):
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base_path = cls.get_base_path()
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model_directories = cls.get_model_directories(base_path)
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return {
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"required": {
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"sub_directory": (model_directories,),
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}
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}
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RETURN_TYPES = ("VAE",)
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FUNCTION = "load_vae"
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CATEGORY = "DiffusersLoader"
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def load_vae(self, sub_directory):
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base_path = self.get_base_path()
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sub_dir_path = os.path.join(base_path, sub_directory)
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model_type = self.detect_model_type(sub_dir_path)
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vae_folder = os.path.join(sub_dir_path, "vae")
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vae_filename = self.find_model_file(vae_folder)
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vae_path = os.path.join(vae_folder, vae_filename)
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full_path = os.path.abspath(vae_path)
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print(f"DiffusersVAELoader: Attempting to load VAE model from: {full_path}")
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if not os.path.exists(full_path):
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raise FileNotFoundError(f"DiffusersVAELoader: The VAE file '{full_path}' does not exist.")
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sd = comfy.utils.load_torch_file(full_path)
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vae = comfy.sd.VAE(sd=sd)
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return (vae,)
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def detect_model_type(self, sub_dir_path):
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"""Detect the model type based on the directory structure."""
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text_encoder_dir1 = os.path.join(sub_dir_path, "text_encoder")
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text_encoder_dir2 = os.path.join(sub_dir_path, "text_encoder_2")
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if os.path.exists(text_encoder_dir1) and os.path.exists(text_encoder_dir2):
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return "SDXL"
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elif os.path.exists(text_encoder_dir1):
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return "SD15"
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else:
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raise FileNotFoundError("DiffusersVAELoader: No valid text_encoder directories found. This model is not SD15 or SDXL")
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# Ensure the node is registered properly
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NODE_CLASS_MAPPINGS = {"DiffusersVAELoader": DiffusersVAELoader}
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NODE_DISPLAY_NAME_MAPPINGS = {"DiffusersVAELoader": "Diffusers VAE Loader"}
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
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