Instructions to use vdo/Latte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/Latte with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/Latte", 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:
- 4aa548bec485ccdbf28d1532c8bc1fb348982857b1d385e50e07dafd58bfded3
- Size of remote file:
- 2.7 GB
- SHA256:
- 87b7f4a35190999bb1f4302237f46ba27ce4c8c5cac00841d47797fea4948da3
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