Instructions to use csbhr/Vivid-VR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use csbhr/Vivid-VR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("csbhr/Vivid-VR", 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:
- 024efc81cfa8215dff66cf498b722f0a8ccfbf7840eb7bc97a276ae811f7865c
- Size of remote file:
- 782 MB
- SHA256:
- 412eb47e2af3191e6a6f7b11874566052ad34351799b1a298e4924832550d649
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.