LoRA

LoRA is a fast and lightweight training method that inserts and trains a significantly smaller number of parameters instead of all the model parameters. This produces a smaller file (~100 MBs) and makes it easier to quickly train a model to learn a new concept. LoRA weights are typically loaded into the denoiser, text encoder or both. The denoiser usually corresponds to a UNet ([UNet2DConditionModel], for example) or a Transformer ([SD3Transformer2DModel], for example). There are several classes for loading LoRA weights:

[!TIP] To learn more about how to load LoRA weights, see the LoRA loading guide.

LoraBaseMixin

[[autodoc]] loaders.lora_base.LoraBaseMixin

StableDiffusionLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.StableDiffusionLoraLoaderMixin

StableDiffusionXLLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.StableDiffusionXLLoraLoaderMixin

SD3LoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.SD3LoraLoaderMixin

FluxLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.FluxLoraLoaderMixin

Flux2LoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.Flux2LoraLoaderMixin

CogVideoXLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.CogVideoXLoraLoaderMixin

Mochi1LoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.Mochi1LoraLoaderMixin

AuraFlowLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.AuraFlowLoraLoaderMixin

LTXVideoLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.LTXVideoLoraLoaderMixin

SanaLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.SanaLoraLoaderMixin

HunyuanVideoLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.HunyuanVideoLoraLoaderMixin

Lumina2LoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.Lumina2LoraLoaderMixin

CogView4LoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.CogView4LoraLoaderMixin

WanLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.WanLoraLoaderMixin

SkyReelsV2LoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.SkyReelsV2LoraLoaderMixin

AmusedLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.AmusedLoraLoaderMixin

HiDreamImageLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.HiDreamImageLoraLoaderMixin

QwenImageLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.QwenImageLoraLoaderMixin

ZImageLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.ZImageLoraLoaderMixin

KandinskyLoraLoaderMixin

[[autodoc]] loaders.lora_pipeline.KandinskyLoraLoaderMixin

LoraBaseMixin

[[autodoc]] loaders.lora_base.LoraBaseMixin