Instructions to use nathanReitinger/MNIST-diffusion-oneImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nathanReitinger/MNIST-diffusion-oneImage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nathanReitinger/MNIST-diffusion-oneImage", 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 samples/0401.png from nathanReitinger/MNIST-diffusion-oneImage: direct link, hf CLI and curl.
- Browser
- Download file 11.2 kB
-
https://huggingface.co/nathanReitinger/MNIST-diffusion-oneImage/resolve/main/samples/0401.png
- Command line
-
hf download hf://nathanReitinger/MNIST-diffusion-oneImage/samples/0401.png
-
curl -L -o 0401.png https://huggingface.co/nathanReitinger/MNIST-diffusion-oneImage/resolve/main/samples/0401.png
11.2 kB

- Xet hash:
- 9fe7c9b2ba1bcee59649cd2d4b18350fa4882e43d1f11ae18313bcf928390594
- Size of remote file:
- 11.2 kB
- SHA256:
- 65d45f2f7c1e28ba2b06819dbf101a1a52304194757dba0c0472fd22135e43b7
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