make brushnet work
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@@ -1,3 +1,4 @@
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import glob
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import json
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import os
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from functools import lru_cache
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@@ -92,7 +93,7 @@ def get_sdxl_model_type(model_abs_path: str) -> ModelType:
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else:
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model_type = ModelType.DIFFUSERS_SDXL
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except ValueError as e:
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if "Trying to set a tensor of shape torch.Size([320, 4, 3, 3])" in str(e):
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if "but got torch.Size([320, 4, 3, 3])" in str(e):
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model_type = ModelType.DIFFUSERS_SDXL
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else:
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raise e
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@@ -192,7 +193,9 @@ def scan_diffusers_models() -> List[ModelInfo]:
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cache_dir = Path(HF_HUB_CACHE)
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# logger.info(f"Scanning diffusers models in {cache_dir}")
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diffusers_model_names = []
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for it in cache_dir.glob("**/*/model_index.json"):
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model_index_files = glob.glob(os.path.join(cache_dir, "**/*", "model_index.json"), recursive=True)
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for it in model_index_files:
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it = Path(it)
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with open(it, "r", encoding="utf-8") as f:
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try:
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data = json.load(f)
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@@ -238,7 +241,9 @@ def _scan_converted_diffusers_models(cache_dir) -> List[ModelInfo]:
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cache_dir = Path(cache_dir)
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available_models = []
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diffusers_model_names = []
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for it in cache_dir.glob("**/*/model_index.json"):
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model_index_files = glob.glob(os.path.join(cache_dir, "**/*", "model_index.json"), recursive=True)
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for it in model_index_files:
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it = Path(it)
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with open(it, "r", encoding="utf-8") as f:
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try:
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data = json.load(f)
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