Instructions to use udg/dsushi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/dsushi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/dsushi", 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:
- 001cf64f16462598482663d7f1f1309989245382a33b797952ee61aabd32c2b4
- Size of remote file:
- 335 MB
- SHA256:
- 703f503a3a36202b9bd0c29c24f782897541994a9bc5cf7ee46941d6bec924b1
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