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Merge branch 'main' into fix/pypi-release-frontend-build

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psychedelicious 2023-12-16 10:15:32 +11:00 committed by GitHub
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2 changed files with 7 additions and 1 deletions
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6
invokeai/backend/model_management/util.py
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@ -9,7 +9,7 @@ def lora_token_vector_length(checkpoint: dict) -> int:
:param checkpoint: The checkpoint :param checkpoint: The checkpoint
""" """
def _get_shape_1(key, tensor, checkpoint): def _get_shape_1(key: str, tensor, checkpoint) -> int:
lora_token_vector_length = None lora_token_vector_length = None
if "." not in key: if "." not in key:
@ -57,6 +57,10 @@ def lora_token_vector_length(checkpoint: dict) -> int:
for key, tensor in checkpoint.items(): for key, tensor in checkpoint.items():
if key.startswith("lora_unet_") and ("_attn2_to_k." in key or "_attn2_to_v." in key): if key.startswith("lora_unet_") and ("_attn2_to_k." in key or "_attn2_to_v." in key):
lora_token_vector_length = _get_shape_1(key, tensor, checkpoint) lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
elif key.startswith("lora_unet_") and (
"time_emb_proj.lora_down" in key
): # recognizes format at https://civitai.com/models/224641
lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
elif key.startswith("lora_te") and "_self_attn_" in key: elif key.startswith("lora_te") and "_self_attn_" in key:
tmp_length = _get_shape_1(key, tensor, checkpoint) tmp_length = _get_shape_1(key, tensor, checkpoint)
if key.startswith("lora_te_"): if key.startswith("lora_te_"):

2
invokeai/backend/model_manager/probe.py
View File

@ -400,6 +400,8 @@ class LoRACheckpointProbe(CheckpointProbeBase):
return BaseModelType.StableDiffusion1 return BaseModelType.StableDiffusion1
elif token_vector_length == 1024: elif token_vector_length == 1024:
return BaseModelType.StableDiffusion2 return BaseModelType.StableDiffusion2
elif token_vector_length == 1280:
return BaseModelType.StableDiffusionXL # recognizes format at https://civitai.com/models/224641
elif token_vector_length == 2048: elif token_vector_length == 2048:
return BaseModelType.StableDiffusionXL return BaseModelType.StableDiffusionXL
else: else: