- How do I keep the same character across AI images?
- Lock the identity, then change one thing at a time. First write a "character bible" — a fixed description of the face, hair, distinguishing marks, and signature wardrobe. Generate one strong anchor image from it. For every next image, attach that anchor as a reference image, paste the same bible text, and describe only the new scene or pose. This tool assembles all four parts (identity anchor, scene, composition, consistency lock) into one paste-ready prompt, plus the reusable bible on its own.
- Do I still need LoRA training for a consistent character?
- For most people, no. LoRA or DreamBooth fine-tuning used to be the only reliable way to pin a character, but it needs a dataset, GPU time, and re-training whenever the look changes. Modern image models accept a reference image plus a detailed text description and hold a character well enough for storyboards, comics, blog art, and social content. Reserve LoRA for high-volume production where you need frame-perfect consistency across hundreds of images.
- Why does my character's face keep changing between images?
- Usually because you changed several variables at once — new pose, new outfit, new setting, and new camera angle in a single prompt — which gives the model room to reinvent the face. Two fixes: (1) keep an identical identity block in every prompt so the described features never drift, and (2) change only ONE variable per generation. If you have an anchor image, attach it as a reference and tell the model to keep the face identical to it.
- What is a character bible?
- A character bible is a short, reusable block of text that fixes everything permanent about a character: age and build, face and hair, distinguishing marks, and signature wardrobe or props. You write it once and paste it into every prompt so the model has the same identity to anchor to each time. It is the single most effective habit for character consistency — this tool builds one for you and lets you copy or download it as a .txt to reuse.