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
- Xet hash:
- 7a7ad4c4fd802cdd1876edf94615d02c5d3653d0e6cef7315de8833ad60c6ac3
- Size of remote file:
- 20 GB
- SHA256:
- f7ade5b8f7f4ff8b4e26a581772ebe5bcfb6a619ece2dd3483c5395c2d7e1a31
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