Spaces:
Runtime error
A newer version of the Gradio SDK is available:
6.0.2
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:
- [
StableDiffusionLoraLoaderMixin] provides functions for loading and unloading, fusing and unfusing, enabling and disabling, and more functions for managing LoRA weights. This class can be used with any model. - [
StableDiffusionXLLoraLoaderMixin] is a Stable Diffusion (SDXL) version of the [StableDiffusionLoraLoaderMixin] class for loading and saving LoRA weights. It can only be used with the SDXL model. - [
SD3LoraLoaderMixin] provides similar functions for Stable Diffusion 3. - [
FluxLoraLoaderMixin] provides similar functions for Flux. - [
CogVideoXLoraLoaderMixin] provides similar functions for CogVideoX. - [
Mochi1LoraLoaderMixin] provides similar functions for Mochi. - [
AuraFlowLoraLoaderMixin] provides similar functions for AuraFlow. - [
LTXVideoLoraLoaderMixin] provides similar functions for LTX-Video. - [
SanaLoraLoaderMixin] provides similar functions for Sana. - [
HunyuanVideoLoraLoaderMixin] provides similar functions for HunyuanVideo. - [
Lumina2LoraLoaderMixin] provides similar functions for Lumina2. - [
WanLoraLoaderMixin] provides similar functions for Wan. - [
CogView4LoraLoaderMixin] provides similar functions for CogView4. - [
AmusedLoraLoaderMixin] is for the [AmusedPipeline]. - [
HiDreamImageLoraLoaderMixin] provides similar functions for HiDream Image - [
LoraBaseMixin] provides a base class with several utility methods to fuse, unfuse, unload, LoRAs and more.
To learn more about how to load LoRA weights, see the LoRA loading guide.
StableDiffusionLoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.StableDiffusionLoraLoaderMixin
StableDiffusionXLLoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.StableDiffusionXLLoraLoaderMixin
SD3LoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.SD3LoraLoaderMixin
FluxLoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.FluxLoraLoaderMixin
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
AmusedLoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.AmusedLoraLoaderMixin
HiDreamImageLoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.HiDreamImageLoraLoaderMixin
LoraBaseMixin
[[autodoc]] loaders.lora_base.LoraBaseMixin
WanLoraLoaderMixin
[[autodoc]] loaders.lora_pipeline.WanLoraLoaderMixin