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Fix LoKr format LoRA weight loading for Flux2 pipelines #13997

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Fix LoKr format LoRA weight loading for Flux2 pipelines #13997

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12 changes: 12 additions & 0 deletions src/diffusers/loaders/lora_conversion_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2377,6 +2377,18 @@ def _convert_non_diffusers_flux2_lora_to_diffusers(state_dict):
temp_state_dict[new_key] = v
original_state_dict = temp_state_dict

# LoKr format: uses lokr_w1 / lokr_w2 instead of lora_A / lora_B, with an alpha key.
# Rename to standard ai-toolkit naming so the rest of the conversion pipeline handles them.
has_lokr = any("lokr_w1" in k or "lokr_w2" in k for k in original_state_dict.keys())
if has_lokr:
temp_state_dict = {}
for k, v in original_state_dict.items():
new_key = k.replace("lokr_w1", "lora_A").replace("lokr_w2", "lora_B")
# Drop standalone alpha keys — ai-toolkit pre-scales the weights.
if new_key != k or "alpha" not in k:
temp_state_dict[new_key] = v
original_state_dict = temp_state_dict

# Some Flux2 checkpoints skip the ai-toolkit `single_blocks` / `double_blocks`
# layout and already store expanded diffusers block names. Accept those
# directly, and normalize the legacy `sformer_blocks` alias used by some exports.
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