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AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow
Text-to-image diffusion transformers (DiTs) are powerful generators, yet direct prompting provides limited control interface for style intensity and can fail to suppress unwanted concepts. To enable these controls, we introduce AcFlow, an inference-time controller that transports intermediate layer
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