The single thing that breaks an AI-generated comic isn't the art style or the prompt — it's the moment your protagonist's hair flips from red to auburn between panel 2 and panel 3. Readers will forgive an awkward pose, a melted hand, even a missing background. They won't forgive a character who clearly isn't the same person across the page. Once that happens, the page stops reading as a story and starts reading as a slideshow. I ran into this hard while building a multi-panel pipeline on top of FLUX Kontext. The default playbook says "train a LoRA per character." That works, but ~30 minutes of training per character is a horrible feedback loop when you're iterating on a 6-panel scene and a new side character shows up in panel 4. So I spent two weeks trying to make a training-free setup hit the same consistency. Below are the three tricks that ended up beating my LoRA baseline.…