Flux lora #148
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Flux lora #148
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entrpn
commented
Feb 13, 2025
entrpn
commented
- Adds support for loading Flux LoRAs for inference.
… Start creating generation code for flux.
|
@jcaraban @ksikiric this is the PR for loading LoRA with Flux. Is it possible to rebase the Flux training PR and continue working from there? |
This was referenced Feb 13, 2025
bvandermoon
approved these changes
Feb 14, 2025
Comment on lines
+47
to
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| def maybe_load_flux_lora(config, lora_loader, params): | ||
| def _noop_interceptor(next_fn, args, kwargs, context): | ||
| return next_fn(*args, **kwargs) | ||
|
|
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| lora_config = config.lora_config | ||
| interceptors = [_noop_interceptor] | ||
| if len(lora_config["lora_model_name_or_path"]) > 0: | ||
| interceptors = [] | ||
| for i in range(len(lora_config["lora_model_name_or_path"])): | ||
| params, rank, network_alphas = lora_loader.load_lora_weights( | ||
| config, | ||
| lora_config["lora_model_name_or_path"][i], | ||
| weight_name=lora_config["weight_name"][i], | ||
| params=params, | ||
| adapter_name=lora_config["adapter_name"][i], | ||
| ) | ||
| interceptor = lora_loader.make_lora_interceptor(params, rank, network_alphas, lora_config["adapter_name"][i]) | ||
| interceptors.append(interceptor) | ||
| return params, interceptors |
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Nit: Why not use maybe_load_lora() from maxdiffusion_utils?
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maybe_use_lora() in maxdiffusion_utils is specific to sdxl and won't work with flux. I should rename that method to maybe_load_sdxl_lora. I will create an issue to track this and add it on a different commit. Thanks for the review.
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