A generate-plan-edit wrapper, using GPT-4o to plan atomic edits and a diffusion editor to execute them, improves compositional text-to-image fidelity across many T2I models.
Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023
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GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis
A generate-plan-edit wrapper, using GPT-4o to plan atomic edits and a diffusion editor to execute them, improves compositional text-to-image fidelity across many T2I models.