Vqgan Based Image Decoding From Latent Tokens

via “vae latent encoding and decoding with quality-speed tradeoff”

text-to-image model by undefined. 20,22,003 downloads.

Unique: Implements 8× spatial compression VAE enabling efficient diffusion in latent space; includes tiling mode for processing images larger than training resolution without retraining or cascading upsampling

vs others: More efficient than pixel-space diffusion (64× memory reduction); tiling approach avoids cascading upsampling artifacts; comparable to other latent diffusion models but with explicit tiling support for large images