Instructions to use H-oliday/SwiftVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use H-oliday/SwiftVR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("H-oliday/SwiftVR", 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
Download assets/qualitative.png from H-oliday/SwiftVR: direct link, hf CLI and curl.
- Browser
- Download file 2.84 MB
-
https://huggingface.co/H-oliday/SwiftVR/resolve/main/assets/qualitative.png
- Command line
-
hf download hf://H-oliday/SwiftVR/assets/qualitative.png
-
curl -L -o qualitative.png https://huggingface.co/H-oliday/SwiftVR/resolve/main/assets/qualitative.png
2.84 MB

- Xet hash:
- f744c92d77b433706d049da01e6b70891ad7baa82851b95aa2d51a169b05ba0f
- Size of remote file:
- 2.84 MB
- SHA256:
- 856b436451495a4c5b8aad4953ad9f859d7388e1ccc498c717f4c9dff2b949de
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