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:
- 9002f3b6d5381c307f7cb0edc9f2dc2df494ccd4cd7af61c4d6d3ccb5648f497
- Size of remote file:
- 212 kB
- SHA256:
- 33728b1a1a6c789f271eb8f784841a7ba31dc5ff5cbddf85dba8d9ff660a1b9d
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