Instructions to use zachary-shah/controlnet-512-v21-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zachary-shah/controlnet-512-v21-full with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("zachary-shah/controlnet-512-v21-full") pipe = StableDiffusionControlNetPipeline.from_pretrained( "yurman/mri-sd-v21-oasis", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
controlnet-zachary-shah/controlnet-512-v21-full
These are controlnet weights trained on yurman/mri-sd-v21-oasis with new type of conditioning.
You can find some example images below.
prompt: An empty, flat black image with a MRI brain axial scan in the center
prompt: An empty, flat black image with a MRI brain axial scan in the center
prompt: An empty, flat black image with a MRI brain axial scan in the center
prompt: An empty, flat black image with a MRI brain axial scan in the center

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Model tree for zachary-shah/controlnet-512-v21-full
Base model
stabilityai/stable-diffusion-2-1 Finetuned
yurman/mri-sd-v21-oasis