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fix comment
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@ -59,7 +59,7 @@ def lora_token_vector_length(checkpoint: dict) -> int:
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lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
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lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
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elif key.startswith("lora_unet_") and (
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elif key.startswith("lora_unet_") and (
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"time_emb_proj.lora_down" in key
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"time_emb_proj.lora_down" in key
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): # recognizes format at https://civitai.com/models/224641 work
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): # recognizes format at https://civitai.com/models/224641
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lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
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lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
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elif key.startswith("lora_te") and "_self_attn_" in key:
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elif key.startswith("lora_te") and "_self_attn_" in key:
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tmp_length = _get_shape_1(key, tensor, checkpoint)
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tmp_length = _get_shape_1(key, tensor, checkpoint)
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@ -401,7 +401,7 @@ class LoRACheckpointProbe(CheckpointProbeBase):
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elif token_vector_length == 1024:
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elif token_vector_length == 1024:
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return BaseModelType.StableDiffusion2
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return BaseModelType.StableDiffusion2
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elif token_vector_length == 1280:
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elif token_vector_length == 1280:
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return BaseModelType.StableDiffusionXL # recognizes format at https://civitai.com/models/224641 work
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return BaseModelType.StableDiffusionXL # recognizes format at https://civitai.com/models/224641
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elif token_vector_length == 2048:
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elif token_vector_length == 2048:
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return BaseModelType.StableDiffusionXL
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return BaseModelType.StableDiffusionXL
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else:
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else:
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