ProbeX/Model-J__SD_200

Model-J: SD_200 (Bundled LoRA Models)

This repository contains SD_200 LoRA models from the Model-J dataset, introduced in:

Learning on Model Weights using Tree Experts (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen

🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset

Overview

This repository bundles all SD_200 LoRA models into a single repo. Each model is a LoRA adapter fine-tuned on images of a specific ImageNet class using Stable Diffusion. Each model directory also contains the training images used for fine-tuning.

Repository Structure

{split}/model_idx_{XXXX}/
    pytorch_lora_weights.safetensors
    training_images/
    README.md

Splits: train, val, test, val_holdout, test_holdout

For detailed hyperparameters of each model, see the README.md in each model's directory or the Model-J dataset.