MultimodalChuyan Chen et al.
Researchers release LLaDA-Image
LLaDA-Image released — publishes a unified image-generation framework that attaches a vision-language understanding module based on LLaDA2.0-Mini to a 6B-scale Diffusion Transformer, together with the full training recipe. Also released LLaDA-Image-Turbo for 2–4-step inference; uses parameter-free RMSNorm and the Muon optimizer
Why it matters
A case of the diffusion language model family crossing over into image generation, adding to the accumulated evidence for the observation topic "diffusion language models". In the authors' own reporting, it claims 53.53 in English and 53.38 in Chinese on Qwen-Image-Bench, the best among open-source models on both
Source — Primary sources first; secondary reports are labelled “Press”
Paperarxiv.orghttps://arxiv.org/abs/2609.03796Added in Week 37, 2026 · See that week