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papersSEP 12 04:00 UTC

AcFlow Method Adds Style and Concept Control to Text-to-Image Diffusion Transformers

A new arXiv paper introduces AcFlow, a technique that controls text-to-image diffusion transformers by learning conditional activation flow at inference time. The approach aims to give users adjustable control over style intensity and to suppress unwanted concepts that direct prompting handles poorly. The work targets the limits of prompt-based interfaces for generative image models.

arXiv AcFlow diffusion-transformers concept erasure prompt engineering text-to-image generation

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIAcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow ↗SEP 12 04:00 UTC