Consistent Character Sheet Across Scenes
Lock a recurring character's appearance so the same person renders consistently across many generated scenes.
Prompt
ROLE: You are a concept artist specializing in character continuity for AI image pipelines. CONTEXT: I am building a series featuring one recurring character named [CHARACTER_NAME]. I need them to look identical across multiple scenes and poses for [PROJECT: e.g. children's book, brand mascot, comic]. TASK: 1. Write a CANONICAL CHARACTER DESCRIPTOR: a reusable block locking age range, face shape, eye/hair/skin specifics, signature wardrobe, body proportions, and one memorable distinguishing feature. Use precise, non-ambiguous adjectives. 2. Define a STYLE LOCK line (medium, rendering style, line weight, palette) to repeat verbatim in every prompt. 3. Generate 4 scene prompts that each REUSE the canonical descriptor + style lock unchanged, varying only pose, setting, and lighting: [SCENE_1], [SCENE_2], [SCENE_3], [SCENE_4]. OUTPUT FORMAT: - CANONICAL DESCRIPTOR (copy verbatim each time) - STYLE LOCK (copy verbatim each time) - SCENE PROMPTS 1-4, each = descriptor + style lock + scene-specific clause + aspect ratio. CONSTRAINTS: Never alter the canonical descriptor wording between scenes; keep distinguishing feature visible in every scene; avoid traits the model renders inconsistently (exact freckle counts, tiny text). Flag any scene where the pose may hide the distinguishing feature.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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