---
license: creativeml-openrail-m
base_model: yurman/mri_full_512_v2_base
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
inference: true
---
    
# controlnet-zachary-shah/controlnet-512-v2-base-laplacian_8-prior

These are controlnet weights trained on yurman/mri_full_512_v2_base with new type of conditioning.
You can find some example images below. They are shown as a control image followed by 4 samples. 
prompt: An empty, flat black image with a MRI brain axial scan in the center
![images_0)](./images_0.png)
prompt: An empty, flat black image with a MRI brain axial scan in the center
![images_1)](./images_1.png)
prompt: An empty, flat black image with a MRI brain axial scan in the center
![images_2)](./images_2.png)
prompt: An empty, flat black image with a MRI brain axial scan in the center
![images_3)](./images_3.png)