Instructions to use aejion/AccVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aejion/AccVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aejion/AccVideo", 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:
- 9046d5fe172d35ca65c0140b3d9c638d31b2714cc17049ee40fcf887ab0e076a
- Size of remote file:
- 1.71 GB
- SHA256:
- a2bf730a0c7debf160f7a6b50b3aaf3703e7e88ac73de7a314903141db026dcb
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