Instructions to use rain1011/Video-LaVIT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rain1011/Video-LaVIT-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rain1011/Video-LaVIT-v1", 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:
- f6bad16697a3e044b6c6e995cf380100c9e7910afccf31395f2b223a17e3d1b1
- Size of remote file:
- 634 MB
- SHA256:
- 59cb500eaf140fb35e848b16a0771effee9dd6af7ef377727d6d03993317588f
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