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:
- 64486979553e6d834fffc627da8eb6a012bf49b60c8c6ffb115e287e5f47d54a
- Size of remote file:
- 11.9 kB
- SHA256:
- 89072fb15c6c3870900027ba242a7cef686f62183693d1f701b4e2286c88e405
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