docs/source/en/api/models/autoencoderkl_audio_ltx_2.md

AutoencoderKLLTX2Audio

The 3D variational autoencoder (VAE) model with KL loss used in LTX-2 was introduced by Lightricks. This is for encoding and decoding audio latent representations.

The model can be loaded with the following code snippet.

from diffusers import AutoencoderKLLTX2Audio

vae = AutoencoderKLLTX2Audio.from_pretrained("Lightricks/LTX-2", subfolder="vae", torch_dtype=torch.float32).to("cuda")

AutoencoderKLLTX2Audio

[[autodoc]] AutoencoderKLLTX2Audio - encode - decode - all