Instructions to use hf-internal-testing/tiny-sana-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sana-pipe 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/tiny-sana-pipe", 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:
- 7456be38c54619c383b2ceca9fcb9089c9750532891def08f1429f979f5cfb57
- Size of remote file:
- 43.5 kB
- SHA256:
- c716e7d1fb37e7eb12838ef5f9a42a7c634182cf66e7d11d7a8fe3f0afd43e5a
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