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:
- 5798ad937da6dc0f5815ad369d225485c64eac80bc2dc4d262a7c6cc69c15f34
- Size of remote file:
- 798 kB
- SHA256:
- 20a5af8aa7c1125bd1b7874d79dd50a599e81e04613e04a445f668bd1d345f79
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