Instructions to use SafaAsgar/diffusion_normal_mri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SafaAsgar/diffusion_normal_mri with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SafaAsgar/diffusion_normal_mri", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download unet/diffusion_pytorch_model.bin from SafaAsgar/diffusion_normal_mri: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/SafaAsgar/diffusion_normal_mri/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SafaAsgar/diffusion_normal_mri@refs/pr/1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SafaAsgar/diffusion_normal_mri/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 3a972f4c9e996f693015039d626868af8651cd5df9b4d638805651b054f26e67
- Size of remote file:
- 455 MB
- SHA256:
- 4e061f105f4c528a91292a8e2d23cf402d110d4755c759ed4ba5313c56416b03
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