Instructions to use matgu23/swzdry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matgu23/swzdry with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matgu23/swzdry", 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:
- 5a3de5e66434665a258cfd22cda91a03fb5c0067acd8a238894820b373ddd4ec
- Size of remote file:
- 335 MB
- SHA256:
- 13389fd2d0387057616bc76578a948a5f504fb1149fb785f969163d8f54c1435
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