AuroraIMG fits a full text-to-image stack into 6.82M parameters
AuroraIMG-6M lets you run a complete text-to-image model on a CPU, but its output is limited to recognizable 64×64 images. Its 6.82M parameters include the text encoder, denoiser, and VAE, all trained from scratch on about 9.88M CC12M image-caption pairs. On a 10k-image holdout, it reports an FID of 33 and CLIP score of 24.8.