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:
- d31b47c04e4ed22b95959a4195d8a5a79dd8998d55952e783db891e12240215a
- Size of remote file:
- 47.9 MB
- SHA256:
- a16afce37f246f656bd10173a48229b6963d15524f993fd4994b9f5418300502
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