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:
- e2f8e37f1ba6df9842019c2c9f6df3d6dacb31404fd315f22467d930c0782fa4
- Size of remote file:
- 492 MB
- SHA256:
- 2ca230de8f717abe8868d54b0c53892360a573ecbff73abcbbc415ff942dede7
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