47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
import os
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import traceback
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from typing import Tuple
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from .llm_client import LLMClient
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class LLMLocalModelLoaderNode:
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NODE_NAME = "Load LLM Model 🦉| OwlV"
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"source": (["ComfyUI models/LLM", "自定义目录"], {"default": "ComfyUI models/LLM"}),
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"custom_path": ("STRING", {"default": ""}),
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}
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}
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RETURN_TYPES = ("LLM",)
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RETURN_NAMES = ("llm",)
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FUNCTION = "load"
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CATEGORY = "Text Processing/LLM"
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def load(self, source: str, custom_path: str) -> Tuple[object]:
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try:
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if source == "自定义目录" and custom_path and custom_path.strip():
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model_dir = custom_path.strip()
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else:
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# 定位到 ComfyUI 根目录，再拼接 models/LLM
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base_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
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model_dir = os.path.join(base_dir, "models", "LLM")
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# 仅做存在性检查
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exists = os.path.isdir(model_dir)
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config = {"path": model_dir, "exists": exists}
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client = LLMClient(kind="local", config=config)
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return (client,)
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except Exception as e:
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print("LLMLocalModelLoaderNode error:", e)
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print(traceback.format_exc())
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# 返回一个占位对象，避免阻塞流程
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client = LLMClient(kind="local", config={"path": custom_path or "", "error": str(e)})
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return (client,)
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