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:
- b75fa7535671444523f6f26055c7b4be3c946417ac7ec66324194c83dc4733a7
- Size of remote file:
- 1.04 MB
- SHA256:
- 10734005c55456ea032b485ad77e12a2cfe0032fa7a48114416f8deb8214a1ee
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