Parameter Efficient Fine-Tuning of Segment Anything Models

peft-sam implements several PEFT (Parameter Efficient Fine-Tuning) methods for Segment Anything Model (SAM) in the biomedical imaging domain.

Installation

How to install peft_sam python library from source?

We recommend to first setup an environment with the necessary requirements:

• environment.yaml: to set up an environment on any platform.
• environment_qlora.yaml: to set up an environment on any platform, with GPU support only.

To create one of these environments and install peft_sam into it follow these steps:

1. Clone the repository: git clone https://github.com/computational-cell-analytics/peft-sam
2. Enter it: cd peft-sam
3. Create the respective environment: conda env create -f <ENV_FILE>.yaml
4. Activate the environment: conda activate peft-sam
5. Install peft_sam: pip install -e .

Citation

If you are using this repository in your research please cite:

• our paper (now published in MIDL 2025).
• the Segment Anything for Microscopy publication.
• and the original Segment Anything publication.
• If you use the medical imaging generalist models, please also cite MedicoSAM publication.