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APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation

Read the original at HF Daily Papers

Summary

APT is an automated framework that uses three agents to adaptively post-train text-to-image models by evaluating their performance and generating targeted reinforcement learning data.

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