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AutoencoderKLLTX2Video

docs/source/en/api/models/autoencoderkl_ltx_2.md

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AutoencoderKLLTX2Video

The 3D variational autoencoder (VAE) model with KL loss used in LTX-2 was introduced by Lightricks.

The model can be loaded with the following code snippet.

python
from diffusers import AutoencoderKLLTX2Video

vae = AutoencoderKLLTX2Video.from_pretrained("Lightricks/LTX-2", subfolder="vae", torch_dtype=torch.float32).to("cuda")

AutoencoderKLLTX2Video

[[autodoc]] AutoencoderKLLTX2Video - decode - encode - all