Instructions to use alppo/amuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alppo/amuse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alppo/amuse", 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/0059_process.png from alppo/amuse: direct link, hf CLI and curl.
- Browser
- Download file 6.26 MB
-
https://huggingface.co/alppo/amuse/resolve/main/samples/0059_process.png
- Command line
-
hf download hf://alppo/amuse/samples/0059_process.png
-
curl -L -o 0059_process.png https://huggingface.co/alppo/amuse/resolve/main/samples/0059_process.png
6.26 MB

- Xet hash:
- 6fd84384578ef6f720c70c8205f0efbba6b4a1c6380cc0798c3d745e295d1577
- Size of remote file:
- 6.26 MB
- SHA256:
- 738fb53843410bc6b74ec21f77234277a30dacc2f88bfe281042c018a468fe25
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