Instructions to use Viggle/Meridian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Viggle/Meridian with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Viggle/Meridian", 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
| torch==2.9.1 | |
| torchvision==0.24.1 | |
| git+https://github.com/huggingface/diffusers@d6726f3 | |
| transformers>=4.57 | |
| safetensors>=0.7 | |
| av==16.1.0 | |
| numpy | |
| pillow | |
| # the demo service only | |
| fastapi | |
| uvicorn | |
| python-multipart | |
| # VGGT-Omega is NOT on this list: it is not pip-installable and its licence does not allow us to | |
| # redistribute it. See README.md, "Install", for the two environment variables that point at your copy. | |