Inference-Time Optimization of Prompt Embeddings in Diffusion Models: A Comparison of sep-CMA-ES and Adam
The application of inference-time prompt-embedding optimization for text-to-image generation using Stable Diffusion XL Turbo indicates that evolutionary optimization is a robust method for exploring embedding spaces without the need for gradients or model fine-tuning.
Domício Pereira, Penousal Machado, João Correia
· GECCO Companion · 0 citations