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fix: handle CLIP text_model prefix change in transformers>=5 for FLUX LoRA loading #14035

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fix: handle CLIP text_model prefix change in transformers>=5 for FLUX LoRA loading #14035

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6 changes: 6 additions & 0 deletions src/diffusers/loaders/lora_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -381,6 +381,12 @@ def _load_lora_into_text_encoder(
rank_key = f"{name}.lora_B.weight"
if rank_key in state_dict:
rank[rank_key] = state_dict[rank_key].shape[1]
else:
# Handle transformers>=5 where CLIPTextModel was flattened and no longer
# includes the `text_model.` wrapper prefix in named_modules().
alt_rank_key = f"text_model.{name}.lora_B.weight"
if alt_rank_key in state_dict:
rank[alt_rank_key] = state_dict[alt_rank_key].shape[1]

if network_alphas is not None:
alpha_keys = [k for k in network_alphas.keys() if k.startswith(prefix) and k.split(".")[0] == prefix]
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