Instructions to use optimum-internal-testing/tiny-random-stable-diffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-internal-testing/tiny-random-stable-diffusion-3 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-internal-testing/tiny-random-stable-diffusion-3", 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:
- 905626e6cb0775abb7d6303d2841c5f413bda6fb2888f6cc33684c4b7a736b0f
- Size of remote file:
- 1.22 MB
- SHA256:
- b0b0787f2de953ea37a62fc45f204e9a9e7e101f9e6bf18921766ed5a8a32bbd
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