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/0089_process.png from alppo/amuse: direct link, hf CLI and curl.
- Browser
- Download file 6.18 MB
-
https://huggingface.co/alppo/amuse/resolve/main/samples/0089_process.png
- Command line
-
hf download hf://alppo/amuse/samples/0089_process.png
-
curl -L -o 0089_process.png https://huggingface.co/alppo/amuse/resolve/main/samples/0089_process.png
6.18 MB

- Xet hash:
- 1e95ad7c9963921e808ad6f4e21b2131402deb8fd62c9d4c245914b8f93ce60b
- Size of remote file:
- 6.18 MB
- SHA256:
- f852d151bd467fcd1a06e8c6b1e6f2da2d84a422b356f7507d0f08de3110fb31
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