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
File size: 974 Bytes
9f57754 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # Sample clips
Both clips in `media/` are from Wikimedia Commons and were released by their uploaders under
[CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) (public domain dedication). We modified
them: cut to a 73-frame window, scaled to 1280 × 720, re-encoded as H.264, soundtrack removed.
| file | source | uploader | window |
|---|---|---|---|
| `sp_bouldering_hang.mp4` | [2020-11-28 - IFSC Euros - Combined M-B - Alex Khazanov - Video 3.webm](https://commons.wikimedia.org/wiki/File:2020-11-28_-_IFSC_Euros_-_Combined_M-B_-_Alex_Khazanov_-_Video_3.webm) | Voltmetro | from 9.5 s |
| `sp_bouldering_reach.mp4` | [Anna Stohr JMM 2013 Annecy Bloc.webm](https://commons.wikimedia.org/wiki/File:Anna_Stohr_JMM_2013_Annecy_Bloc.webm) | Shev123 | from 13.75 s |
Both show identifiable athletes at public competitions. The CC0 dedication covers the uploader's
copyright, not the athletes' personality rights; the clips are here as technical demo inputs only.
|