Instructions to use rileybol/amxl-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rileybol/amxl-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rileybol/amxl-diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab155ed81477545a2f2159c6101a0c19ce6b336c5b7da39eae7dd45e49c04764
- Size of remote file:
- 492 MB
- SHA256:
- 3d4b28645e3ba0d1edafe2b2dfcf56e0fae77df37dcbdfcdf059b93b7a4b9347
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