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:
- 230a2e83f5ab68079e0fdcdae6eed1d92884bb7eb07c93dd4e064306df1f625a
- Size of remote file:
- 612 kB
- SHA256:
- 812c94107369be7ffbed2cb75940ec9c0c32f5bb493ed0cb5307529d989e4745
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