53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
import json
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import os.path
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import folder_paths # noqa
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from folder_paths import models_dir # noqa
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import comfy.sd # noqa
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import comfy.utils # noqa
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from nodes import LoraLoader # noqa
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from .utils.lora_enc_map import FELoraEmpFinder, read_emp
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from .utils.any_hack import any
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from .utils.model_info import get_metadata
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class FEEncLoraLoader(LoraLoader, FELoraEmpFinder):
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def __init__(self):
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super().__init__()
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self.loaded_lora = None
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@classmethod
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def INPUT_TYPES(s):
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s.EMP_CACHE = read_emp("loras")
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out_loras = [s.find_real_lora(lora) for lora in folder_paths.get_filename_list("loras")]
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return {
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"required": {
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"model": ("MODEL",),
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"clip": ("CLIP",),
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"lora_name": (out_loras,),
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"strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
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"strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
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}
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}
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RETURN_TYPES = ("MODEL", "CLIP", any)
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RETURN_NAMES = ("MODEL", "CLIP", "EXTRA")
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FUNCTION = "load_lora"
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CATEGORY = "loaders"
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def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
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lora_name = self.find_current_lora(lora_name)
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try:
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result = get_metadata(lora_name) or {}
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except:
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result = {}
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if not lora_name:
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return (model, clip, result,)
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try:
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m, c = super().load_lora(model, clip, lora_name, strength_model, strength_clip)
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except:
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print("Failed to load lora", lora_name)
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raise
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return (m, c, result,)
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