peft/pr_3289/en/package_reference/adapter_utils.md

# LyCORIS

[LyCORIS](https://hf.co/papers/2309.14859) (Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion) are LoRA-like matrix decomposition adapters that modify the cross-attention layer of the UNet. The [LoHa](loha) and [LoKr](lokr) methods inherit from the `Lycoris` classes here.

## LycorisConfig[[peft.tuners.lycoris_utils.LycorisConfig]]

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A base config for LyCORIS like adapters

## LycorisLayer[[peft.tuners.lycoris_utils.LycorisLayer]]

A base layer for LyCORIS like adapters

- **safe_merge** (`bool`, *optional*) --
  If `True`, the merge operation will be performed in a copy of the original weights and check for NaNs
  before merging the weights. This is useful if you want to check if the merge operation will produce
  NaNs. Defaults to `False`.
- **adapter_names** (`List[str]`, *optional*) --
  The list of adapter names that should be merged. If `None`, all active adapters will be merged.
  Defaults to `None`.

Merge the active adapter weights into the base weights

This method unmerges all merged adapter layers from the base weights.

## LycorisTuner[[peft.tuners.lycoris_utils.LycorisTuner]]

- **model** (`torch.nn.Module`) -- The model to be adapted.
- **config** ([LoraConfig](/docs/peft/pr_3289/en/package_reference/lora#peft.LoraConfig)) -- The configuration of the Lora model.
- **adapter_name** (`str`) -- The name of the adapter, defaults to `"default"`.
- **low_cpu_mem_usage** (`bool`, `optional`, defaults to `False`) --
  Create empty adapter weights on meta device. Useful to speed up the loading process.

A base tuner for LyCORIS like adapters