metadata

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:

Pipeline usage

You can use the pipeline like so:

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.