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GRACE compresses video latents while preserving compatibility with pretrained DiTs

huggingface.co by Jiyoung Kim et al. Editor score 7/10

GRACE retains a frozen base latent and learns a residual for information lost under stronger compression, while aligning compressed latents to the pretrained distribution. This targets faster video diffusion without requiring a DiT retrain.

What: - GRACE is a two-stage framework for compressing a pretrained video autoencoder while keeping it compatible with a pretrained DiT.
Method: - It retains a frozen base latent, learns a residual for information lost under compression, and aligns latents in the frozen DiT’s feature space.
Why it matters: - Preserving DiT compatibility can avoid retraining from scratch; GRACE then adapts the DiT with lightweight fine-tuning and asymmetric denoising.

GRACE combines base and residual latents, aligns them through a frozen DiT, then adapts the DiT. Sketched from the article's own text.

Read on huggingface.co → Code · 12 stars

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