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Existing image-to-image evaluations miss a critical aspect: whether the output image actually preserves the content of the input.
Steer clear of catastrophic forgetting in VLMs with EvoPrompt, a new method that evolves prompts by preserving learned semantic directions while adapting their magnitude.
You can now get 4x faster text-to-image generation from masked image models like Lumina-DiMOO, without sacrificing quality, by predicting feature evolution.