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:
- 888f00b3ec6a016b5be8d5070a9a3d0043dc41f9bd2da46c7467cb3ea9770ec5
- Size of remote file:
- 52.1 MB
- SHA256:
- a326a5e5c4a2445ce970987695979f3d5e5413d39b98c73a2ddac0055d2cdf59
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