Instructions to use ByteDance/LatentSync with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/LatentSync with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/LatentSync", 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
License clarification for LatentSync weights
#3
by totruok - opened
Hi ByteDance team,
The GitHub repo states the code is under Apache 2.0, but on Hugging Face, the weights are listed under OpenRAIL (no version specified).
Which OpenRAIL version applies to the weights?
openrail++
chunyu-li changed discussion status to closed
Where can I find the full OpenRAIL++ license terms for this model?