Instructions to use hf-internal-testing/Amixx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/Amixx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/Amixx", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 8f83db8281903fd84ed3e2151dfadaf249804352cd413c32c99fa982ae4abcc0
- Size of remote file:
- 167 MB
- SHA256:
- 33579b16873114b4a6baf98ffaa18f3221f4422dd793baa7573426fc7f60c9ae
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