Character Consistency Guide: Keeping HARU Recognizable Across AI Shots

This page asks one production question: can AI character consistency support a result where the audience experiences one stable HARU performance across changes in camera, light, environment and tool? The hard part is protecting identity through turns, occlusion, perspective, motion and different model interpretations. It does not claim a universal winner, score, success rate or fixed production time.

The review boundary is neutral identity evidence, production frames and visible continuity failures were reviewed by character and shot purpose. Anything beyond the files, frames and public project links shown here is a question for a future project, not a completed FourFeetz test.

For Character Consistency Guide, the repository contains the featured HARU and PORI and LUNA and HUGO and RURU and MILO image and the character reference shown below. They support a discussion of composition, identity and review criteria; they do not by themselves prove hidden settings, generation counts or a tool-wide benchmark.

The comparison anchor is the HARU identity sheet, expression anchors and protected accessory checklist. This keeps the page tied to observable material instead of borrowing evidence from an unrelated character article.

The material is most vulnerable when the face survives while age, body, coat, collar or temperament changes. A polished frame is not enough if it cannot preserve the intended character, action or edit relationship.

The appropriate response is separating identity facts from shot facts and rebuilding conflicting references before generating another scene. This is a review decision, not a claim that every model or project will behave the same way.

The public method is review silhouette before face, face before material and material before finishing; redesign shots that demand unsupported geometry. The useful controls are neutral front and three-quarter anchors, silhouette review first, accessory scale checklist, behavior note per character. They are planning prompts rather than private presets or guaranteed settings.

The Character Consistency Guide example below demonstrates instruction order only. It deliberately omits master prompts, character-bible details, weighting logic and private production configuration.

This Character Consistency Guide article does not establish a numerical rating, a winning tool, a repeatable success percentage or a fixed budget. Tool access, model behavior, credits and terms can change, so those facts must be checked in the live service before production.

A future test should keep the HARU identity sheet, expression anchors and protected accessory checklist fixed, change one relevant variable and record whether the result can enter the intended edit. The page remains useful only while its claims stay inside that evidence boundary.