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/89999.png from nathanReitinger/MNIST-diffusion-oneImage: direct link, hf CLI and curl.
- Browser
- Download file 3.21 kB
-
https://huggingface.co/nathanReitinger/MNIST-diffusion-oneImage/resolve/main/samples/89999.png
- Command line
-
hf download hf://nathanReitinger/MNIST-diffusion-oneImage/samples/89999.png
-
curl -L -o 89999.png https://huggingface.co/nathanReitinger/MNIST-diffusion-oneImage/resolve/main/samples/89999.png
3.21 kB

- Xet hash:
- 4d9183f766e5334d338b2de822833c8b572c69a0b6d97248f422879311087245
- Size of remote file:
- 3.21 kB
- SHA256:
- 98f5b86f49840c7264ee570858bd59ab327a562b0d3151c1856ac51fd7e9aa09
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