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1.2 KiB
1.2 KiB
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