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/0200.png from nathanReitinger/MNIST-diffusion-oneImage: direct link, hf CLI and curl.
- Browser
- Download file 13.9 kB
-
https://huggingface.co/nathanReitinger/MNIST-diffusion-oneImage/resolve/main/samples/0200.png
- Command line
-
hf download hf://nathanReitinger/MNIST-diffusion-oneImage/samples/0200.png
-
curl -L -o 0200.png https://huggingface.co/nathanReitinger/MNIST-diffusion-oneImage/resolve/main/samples/0200.png
13.9 kB

- Xet hash:
- 0c171762faa5afe65417ccf6a35cad5cebb46f9556df5069782e6da41aaa3ce6
- Size of remote file:
- 13.9 kB
- SHA256:
- 32eddcc8bfdf2cf0c54fd6f1bb5b21aa060cb5e952964904edb38c2147a87d0c
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