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:
- eae4d3b38218f985a29aa7fd6e9c2290a3edce4de7e35ad155e0daa696778aa4
- Size of remote file:
- 2.64 MB
- SHA256:
- f660614068b8211de0076bbf4739ed5b4bb34a1d752ebfd6b350bf142643883a
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