Instructions to use ngoctham/SwiftVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ngoctham/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("ngoctham/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 .gitattributes from ngoctham/SwiftVR: direct link, hf CLI and curl.
- Browser
- Download file 491 Bytes
-
https://huggingface.co/ngoctham/SwiftVR/resolve/main/.gitattributes
- Command line
-
hf download hf://ngoctham/SwiftVR/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/ngoctham/SwiftVR/resolve/main/.gitattributes
491 Bytes
| videos/demo_1.mp4 filter=lfs diff=lfs merge=lfs -text | |
| videos/demo_2.mp4 filter=lfs diff=lfs merge=lfs -text | |
| videos/demo_3.mp4 filter=lfs diff=lfs merge=lfs -text | |
| assets/demo_1.mp4 filter=lfs diff=lfs merge=lfs -text | |
| assets/demo_2.mp4 filter=lfs diff=lfs merge=lfs -text | |
| assets/demo_3.mp4 filter=lfs diff=lfs merge=lfs -text | |
| assets/qualitative.png filter=lfs diff=lfs merge=lfs -text | |
| assets/teaser.avif filter=lfs diff=lfs merge=lfs -text | |
| SwiftVR-main.zip filter=lfs diff=lfs merge=lfs -text | |