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ENH: Improve speed of function expanding LoRA scales #11834

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Merged
merged 3 commits into from
Jun 30, 2025
Merged

ENH: Improve speed of function expanding LoRA scales #11834

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d890aa2
ENH Improve speed of expanding LoRA scales
BenjaminBossan Jun 30, 2025
8bebb06
Small fix
BenjaminBossan Jun 30, 2025
3a8edeb
Merge branch 'main' into enh-improve-speed-expand-lora-scales
sayakpaul Jun 30, 2025
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7 changes: 5 additions & 2 deletions src/diffusers/loaders/unet_loader_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,8 @@
import copy
from typing import TYPE_CHECKING, Dict, List, Union

from torch import nn

from ..utils import logging


Expand Down Expand Up @@ -52,7 +54,7 @@ def _maybe_expand_lora_scales(
weight_for_adapter,
blocks_with_transformer,
transformer_per_block,
unet.state_dict(),
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Since this is a private function, this should be more than okay to break

model=unet,
default_scale=default_scale,
)
for weight_for_adapter in weight_scales
Expand All @@ -65,7 +67,7 @@ def _maybe_expand_lora_scales_for_one_adapter(
scales: Union[float, Dict],
blocks_with_transformer: Dict[str, int],
transformer_per_block: Dict[str, int],
state_dict: None,
model: nn.Module,
default_scale: float = 1.0,
):
"""
Expand Down Expand Up @@ -154,6 +156,7 @@ def _maybe_expand_lora_scales_for_one_adapter(

del scales[updown]

state_dict = model.state_dict()
for layer in scales.keys():
if not any(_translate_into_actual_layer_name(layer) in module for module in state_dict.keys()):
raise ValueError(
Expand Down