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Fix: Exclude module handling in LoRA weight loading#11911

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There is a bug in src/diffusers/utils/peft_utils.py when loading LoRA weights: if an excluded module name is a substring of a target module name, it unintentionally prevents the target module from being loaded.

A simple reproduction example:

import torchfrom diffusers import FluxPipelinepipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur", weight_name="FLUX-dev-lora-AntiBlur.safetensors")

This is a known issue, as discussed in:

Although the PEFT library is preparing a fix (seehuggingface/peft#2637 (comment)), it's uncertain when that change will be released as part of a stable version. In the meantime, this bug exists in the current main branch of Diffusers and needs to be addressed immediately.

The proposed fix modifies the logic in Diffusers to ensure that exclude_modules are not substring of any target module name, preventing incorrect exclusions. This change may be rolled back in the future once the PEFT-side fix is available and adopted, but until then, it ensures correct and stable behavior for users.

    - Updated the logic in  to use a set for exclude modules, improving efficiency and clarity.    - Enhanced the filtering process to ensure only relevant modules are excluded based on the target modules set.
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