Instructions to use hf-internal-testing/tiny-stable-diffusion-pipe-indexes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-stable-diffusion-pipe-indexes 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-stable-diffusion-pipe-indexes", 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:
- 530ae4c829ee56f1ab598cc9ace72eeaa344eeb1a34dd6c0af256e18ddc6e6ee
- Size of remote file:
- 5.74 MB
- SHA256:
- fdd8e3f36cc4ccb30d480171f60190e66add12b160bb3cf3d0807585e323c9c1
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