Caption the text inside images to stop models garbling it

Recraft's machine learning team attributes broken text rendering in AI-generated images to training captions that describe scenes without transcribing the words inside them, and says fixing this caption gap is why Recraft V3 achieved a top ELO ranking in text-to-image benchmarks.

Recraft's ML team traces broken text rendering to training captions that describe the scene but never transcribe the words inside it. Fixing that caption gap is what they credit for Recraft V3's reported top ELO ranking in text-to-image. Read: Recraft's ML team traces broken text rendering to training captions that describe the scene but never transcribe the words inside it. Fixing that caption gap is what they credit for Recraft V3's reported top ELO ranking in text-to-image. Read: The agent reads existing canvas state, proposes a stage plan for approval, inserts conversion nodes where types mismatch, and prices each node before it runs. Edits reprocess only what sits downstream, so a late change does not re-run the whole pipeline. Read: Instead of adopting Volcano, YuniKorn or KAI-Scheduler, Krea steers the stock Kubernetes scheduler with dynamic taints driven by a PromQL signal, then uses the Descheduler and Kueue to rebalance. Overflow capacity is reached only once the owned cluster is full.