Instructions to use bumblebee-testing/tiny-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bumblebee-testing/tiny-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bumblebee-testing/tiny-stable-diffusion", 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:
- 1fcde657dc6ab990009f1193769cae40b32d4805a5384ab0815bad57d44fb85e
- Size of remote file:
- 5.83 MB
- SHA256:
- 92db0d38f8dc8a75b762e1d065e55d31e8ce9489a24459ddaa1fcc8ba079c694
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