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Fix copied from comment in Mochi lora loader #10255

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Merged
merged 1 commit into from
Dec 17, 2024
Merged

Fix copied from comment in Mochi lora loader #10255

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4 changes: 2 additions & 2 deletions src/diffusers/loaders/lora_pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3104,7 +3104,7 @@ def load_lora_weights(
)

@classmethod
# Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.load_lora_into_transformer with SD3Transformer2DModel->CogVideoXTransformer3DModel
# Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.load_lora_into_transformer with SD3Transformer2DModel->MochiTransformer3DModel
def load_lora_into_transformer(
cls, state_dict, transformer, adapter_name=None, _pipeline=None, low_cpu_mem_usage=False
):
Expand All @@ -3116,7 +3116,7 @@ def load_lora_into_transformer(
A standard state dict containing the lora layer parameters. The keys can either be indexed directly
into the unet or prefixed with an additional `unet` which can be used to distinguish between text
encoder lora layers.
transformer (`CogVideoXTransformer3DModel`):
transformer (`MochiTransformer3DModel`):
The Transformer model to load the LoRA layers into.
adapter_name (`str`, *optional*):
Adapter name to be used for referencing the loaded adapter model. If not specified, it will use
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