sep-CMA-ES outperforms Adam on a combined aesthetic-plus-alignment objective when optimizing prompt embeddings for Stable Diffusion XL Turbo across 36 Parti Prompts and three weight settings.
Evolving the embedding space of diffusion models in the field of visual arts
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Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration
sep-CMA-ES outperforms Adam on a combined aesthetic-plus-alignment objective when optimizing prompt embeddings for Stable Diffusion XL Turbo across 36 Parti Prompts and three weight settings.