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:
- bcadcfba82025b5821702c455bf396e0b31172eddf6a7ad235ff8972ba513376
- Size of remote file:
- 378 kB
- SHA256:
- b663f3554a31dc732fba259b3b2afeda5c1309d3f26109ad335e04f37eae08e3
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