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Add model cards for val (batch 1)
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---
base_model: CompVis/stable-diffusion-v1-3
library_name: peft
pipeline_tag: text-to-image
tags:
- probex
- model-j
- weight-space-learning
- lora
- stable-diffusion
---
# Model-J: SD_200 - model_idx_3521
This model is part of the **Model-J** dataset, introduced in:
**Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
<p align="center">
🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
</p>
## Model Details
| Attribute | Value |
|---|---|
| **Subset** | SD_200 |
| **Split** | val |
| **Base Model** | `CompVis/stable-diffusion-v1-3` |
| **ImageNet Class** | tabby (n02123045) |
## Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| Max Train Steps | 700 |
| LoRA Rank | 16 |
| Seed | 2 |
| N Training Samples | 10 |