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:
- d7aa7664df24cf95ec72184d504da860f249bd106c2823f3c5c3c061f70f9d74
- Size of remote file:
- 1.27 MB
- SHA256:
- 63a3068332f22f75dfb39aa140543f127e4386a906bd9878b7e4937f538385b1
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