Spaces:
Running
on
Zero
Running
on
Zero
AutoencoderKLLTXVideo
The 3D variational autoencoder (VAE) model with KL loss used in LTX was introduced by Lightricks.
The model can be loaded with the following code snippet.
from diffusers import AutoencoderKLLTXVideo
vae = AutoencoderKLLTXVideo.from_pretrained("Lightricks/LTX-Video", subfolder="vae", torch_dtype=torch.float32).to("cuda")
AutoencoderKLLTXVideo
[[autodoc]] AutoencoderKLLTXVideo - decode - encode - all
AutoencoderKLOutput
[[autodoc]] models.autoencoders.autoencoder_kl.AutoencoderKLOutput
DecoderOutput
[[autodoc]] models.autoencoders.vae.DecoderOutput