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:
- 8777674cd9a4a4a4ea6416c724b8ba69671d3c9e42b96c6c8a7f3a2415034ede
- Size of remote file:
- 2.13 GB
- SHA256:
- 7eeb93a3632d5f03a16c920c9329debfe4fb8c01116aa5105dfdeff20dd79cf1
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