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:
- 4d888a0c34b1cae2e1bfb9917b8f04b52c94526553d44e081a689f79c2e45290
- Size of remote file:
- 808 MB
- SHA256:
- 3f2fb8074fa0d0b75ca3f9ee9ea943909c17dfb2f752d8f42fc76b351ebe0999
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