Instructions to use hf-internal-testing/tiny-stable-diffusion-pipe 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 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", 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:
- 15351763e2a5e7ab0750bd5a51c96dceeb995e512bfa4697b6858653e731b561
- Size of remote file:
- 5.74 MB
- SHA256:
- c69e435ef37a4e0fe3471d2c9488924bdf534cb51c08e9450420784d53336d73
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