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fix create_network_from_weights doesn't work

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Kohya S
2024-05-12 22:15:07 +09:00
parent a384bf2187
commit 16677da0d9
1 changed files with 4 additions and 1 deletions
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5
networks/lora.py
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@@ -757,6 +757,9 @@ def get_block_index(lora_name: str, is_sdxl: bool = False) -> int:
# Create network from weights for inference, weights are not loaded here (because can be merged)
def create_network_from_weights(multiplier, file, vae, text_encoder, unet, weights_sd=None, for_inference=False, **kwargs):
# if unet is an instance of SdxlUNet2DConditionModel or subclass, set is_sdxl to True
is_sdxl = unet is not None and issubclass(unet.__class__, SdxlUNet2DConditionModel)
if weights_sd is None:
if os.path.splitext(file)[1] == ".safetensors":
from safetensors.torch import load_file, safe_open
@@ -792,7 +795,7 @@ def create_network_from_weights(multiplier, file, vae, text_encoder, unet, weigh
)
# block lr
block_lr_weight = parse_block_lr_kwargs(kwargs)
block_lr_weight = parse_block_lr_kwargs(is_sdxl, kwargs)
if block_lr_weight is not None:
network.set_block_lr_weight(block_lr_weight)