# Latent diffusion models

PixVid converts a pretrained latent video diffusion model into a frame-wise pixel-space generator: it keeps the diffusion transformer, replaces the VAE decoder with a convolutional detailer head, and finetunes from Wan2.1-14B. It reaches VBench totals of 85.09 at 960p and 84.78 at 480p, above Wan2.1's 84.05 and PixelUMM's 83.72, and keeps 98% of source motion on fast clips versus 83% for an identically finetuned latent model.

PixVid converts a pretrained latent video diffusion model into a frame-wise pixel-space generator: it keeps the diffusion transformer, replaces the VAE decoder with a convolutional detailer head, and finetunes from Wan2.1-14B. It reaches VBench totals of 85.09 at 960p and 84.78 at 480p, above Wan2.1's 84.05 and PixelUMM's 83.72, and keeps 98% of source motion on fast clips versus 83% for an identically finetuned latent model.