Instructions to use nabdan/mnist_20_epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nabdan/mnist_20_epoch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nabdan/mnist_20_epoch", 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 diffusion_pytorch_model.bin from nabdan/mnist_20_epoch: direct link, hf CLI and curl.
- Browser
- Download file 6.95 MB
-
https://huggingface.co/nabdan/mnist_20_epoch/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://nabdan/mnist_20_epoch/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/nabdan/mnist_20_epoch/resolve/main/diffusion_pytorch_model.bin
6.95 MB
- Xet hash:
- 39b44c8dd86ab3ecf22d2d368f5a03fe0eaabdab329ca44290c34ae9576c520b
- Size of remote file:
- 6.95 MB
- SHA256:
- 77e876a84c5229cc82167bfcce049f8be1a54b99115eafcf50731730c77a2580
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