ext-to-image generation has evolved beyond single monolithic models to
complex multi-component pipelines. These combine fine-tuned generators,
adapters, upscaling blocks and even editing steps, leading to significant
improvements in image quality. However, their effective design requires
substantial expertise. Recent approaches have shown promise in automating this
process through large language models (LLMs), but they suffer from two critical
limitations: extensive computational requirements from generatin