这是indexloc提供的服务,不要输入任何密码
Skip to content

WaveFT Integration #2552

@Bilican

Description

@Bilican

Feature request

The following paper with the corresponding code propose a new PEFT method which demonstrates superior performance to existing methods (Adalora, VeRA, LoRA, LoHA, LoKR, FourierFT) in vision tasks. In the repository one can easily reproduce every result in the given paper because all hyperparameters and training scripts for each method are shared. The training and evaluation scripts already use PEFT implementations for each method.

Motivation

The proposed method, WaveFT has advantages compared to other methods most significantly in generating diverse outputs while preserving subject fidelity.

Your contribution

I have already written the code in the repository to be compatible and follow the PEFT conventions. It would be great if you could directly review the implemented files, but if necessary I could submit a PR to help. The method is implemented here.

Metadata

Metadata

Assignees

No one assigned

    Labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions