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
Download assets/fixed_embed_73.pt from Viggle/Meridian: direct link, hf CLI and curl.
- Browser
- Download file 5.08 MB
-
https://huggingface.co/Viggle/Meridian/resolve/main/assets/fixed_embed_73.pt
- Command line
-
hf download hf://Viggle/Meridian/assets/fixed_embed_73.pt
-
curl -L -o fixed_embed_73.pt https://huggingface.co/Viggle/Meridian/resolve/main/assets/fixed_embed_73.pt
5.08 MB
- Xet hash:
- f021b61fc8d4d80e78fdbe1762babfcc4c4c8b5567f8b9b19f9cec5bcab0c7d7
- Size of remote file:
- 5.08 MB
- SHA256:
- 9b297f2d18ead294f24b4c1a4fbd116049da19b833742f6c0c59d8f85478bf47
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