Mage-VAE

Microsoft's Mage-Flow image generation model, with only 4 billion parameters, outperforms larger models including FLUX.2-dev (32B) and Qwen-Image (20B) on GenEval benchmarks, scoring 0.88 against thei…

Microsoft released Mage-Flow, a 4-billion-parameter image generation model that aims to match the quality of larger models while being smaller. The model uses a co-design approach with Mage-VAE, a lat…

Mage-Flow, a compact 4B-parameter generative stack from an unnamed research team, achieves competitive text-to-image generation and editing performance while reducing tokenization cost by more than an…