Instructions to use CSWRY/VOSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CSWRY/VOSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CSWRY/VOSR", 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
- Xet hash:
- 51ada3382c439acf80f46c4e23ab8c4b2608e47d8742a983d6dad4206a89cad7
- Size of remote file:
- 1.22 GB
- SHA256:
- d5383ea8f4877b2472eb973e0fd72d557c7da5d3611bd527ceeb1d7162cbf428
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