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:
- e0c7d44554750cf598360ac585aa4c2af46e877e2a2ac5c769d01a3dafce3bc0
- Size of remote file:
- 519 kB
- SHA256:
- 056279ece21daf1f6732530dc1419b430de02d466a29751db0bda1805034927f
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