Instructions to use uiusu/sdf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uiusu/sdf with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("uiusu/sdf", 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:
- 4050b2ed2d8b8e84dd7649983ad1318effe33b68842410e0d783df2056cac3ff
- Size of remote file:
- 492 MB
- SHA256:
- bfcec4788db023627b71a14d7ed2d64efecb600bcd750eb04e7243f12f7d9c0c
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