Instructions to use Ryukijano/Multiview_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryukijano/Multiview_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ryukijano/Multiview_diffusion", 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
Download .gitignore from Ryukijano/Multiview_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 39 Bytes
-
https://huggingface.co/Ryukijano/Multiview_diffusion/resolve/main/.gitignore
- Command line
-
hf download hf://Ryukijano/Multiview_diffusion/.gitignore
-
curl -L -o .gitignore https://huggingface.co/Ryukijano/Multiview_diffusion/resolve/main/.gitignore
39 Bytes
| *.pt | |
| *.yaml | |
| **/__pycache__ | |
| *.pyc | |
| venv/ |