GPT Image 2.5: Stop Your Book Hero From Changing by Page 3

Creating consistent children’s book characters with GPT Image 2.5 requires an approved visual master, a supplementary multiview character sheet, explicit reference uploads for every scene request, and systematic review rather than reliance on text prompts or resolution alone. The guide defines consistency as preserving recognizable facial features, age, proportions, clothing construction, accessories, illustration style, and story-appropriate actions while allowing plausible changes from pose, lighting, and viewpoint. It proposes a four-page test sequence involving standing, crouching in profile, a rear view, and an indoor close view, using a master image as the identity authority and a reference sheet for otherwise unseen details. It also recommends diagnosing specific defects before making targeted edits, comparing reference-based output with text-only generation, retaining versioned files and prompts, and reviewing each page for face, hair, identity markers, clothing, pose, style, and narrative action. The workflow uses Sunburst for image generation and editing but does not claim measured model-wide performance, cost, or superiority over Flare, emphasizing instead that creators should conduct their own controlled trials, budget based on accepted pages and revisions, and verify layouts, print requirements, and service terms before publication.

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