Instructions to use li-yan/diffusion-aurora-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use li-yan/diffusion-aurora-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("li-yan/diffusion-aurora-256", 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/0039.png from li-yan/diffusion-aurora-256: direct link, hf CLI and curl.
- Browser
- Download file 1.85 MB
-
https://huggingface.co/li-yan/diffusion-aurora-256/resolve/main/samples/0039.png
- Command line
-
hf download hf://li-yan/diffusion-aurora-256/samples/0039.png
-
curl -L -o 0039.png https://huggingface.co/li-yan/diffusion-aurora-256/resolve/main/samples/0039.png
1.85 MB

- Xet hash:
- bfbfd74c39117b7b13bef5c589de00a91a529ec48f04fa898a1ac1aacab2e00b
- Size of remote file:
- 1.85 MB
- SHA256:
- f9b132271773c87ebffc6fc6e32119f8b2c5b80f3cfa2fc9647045f5b6fcbca1
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