README.md

---
license: creativeml-openrail-m
base_model: zachary-shah/unconditional_mri_full_512_v2_base
datasets:
- 'OASIS-3'
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
inference: true
---

# Unconditioned stable diffusion finetuning - zachary-shah/unconditional_gslider_256_b1000

This pipeline was finetuned from **zachary-shah/unconditional_mri_full_512_v2_base**
on the **OASIS-3** dataset for brain image generation.
Below are some example images generated with the finetuned pipeline: 

![val_imgs_grid](./val_imgs_grid.png)


## Pipeline usage

You can use the pipeline like so:

```python
from diffusers import StableDiffusionUnconditionalPipeline
import torch

pipeline = StableDiffusionUnconditionalPipeline.from_pretrained("zachary-shah/unconditional_gslider_256_b1000", torch_dtype=torch.float32)
image = pipeline(1).images[0]
image.save("brain_image.png")
```

## Training info
For training info, refer the model card for the parent conditional model: zachary-shah/unconditional_mri_full_512_v2_base.