Instructions to use katuni4ka/tiny-random-stable-diffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katuni4ka/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("katuni4ka/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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bb229c5d6e69a93527327383e77c8fa9301b40169096418bb5c116a7e0c75b8c
- Size of remote file:
- 301 kB
- SHA256:
- 527871745c82421cd68eaf266e72f34e85b1d510fe29be596747a1202b63e66b
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