Instructions to use AfterJourney/CoMoVi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AfterJourney/CoMoVi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AfterJourney/CoMoVi", 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:
- cc0ebf269d8e251505137034ead0cd396bc469e1a0c78762e50c0e4c667ddbb8
- Size of remote file:
- 441 kB
- SHA256:
- 371cacbd2ba292a201f7de49978ba8e41df090bfce47fbd4558b3ce3920a12a6
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