ByteDance research improves image generation with structured prompts
jiqizhixin · x · 2026-08-21
ByteDance Seed researchers found that naively adding text to prompts hurts performance in models like Qwen-Image and FLUX.1. They introduced a structured-prompt schema incorporating image-grounded facts (geometry, semantics) instead of filler prose.
Scaling laws indicate diffusion loss decreases linearly with information density, not token count. The system beats all open-weight models on compositional and reasoning benchmarks, matching top closed-weight models. The secret is a finetuned prompter trained via verifier-gated distillation. Code, models, and demo are available.
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