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:
- dd55f097aebf8762455f89b21cb86460fe5e93e1472f674916f5567d44135558
- Size of remote file:
- 1.21 MB
- SHA256:
- cdbe7f2bfb72b0a9884826b761fa80e165c7c6e877be1a179e89b83bab5e1628
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