Instructions to use optimum-intel-internal-testing/stable-diffusion-3-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/stable-diffusion-3-tiny-random with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/stable-diffusion-3-tiny-random", 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:
- b463078959a7a61e1d2958fdf6e94b4ec20291a14f46943ea2a14ee0e523f8b3
- Size of remote file:
- 72.1 kB
- SHA256:
- 961c43c30950729ea7c789f2984ba5d390006a1baf61adf972c1fc6949bc83b5
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