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Image Generation

Negative Prompt Reference for People Images

Builds tailored, copy-ready negative prompt lists for people-focused image generation using GPT Image 2 and Nano Banana 2, adapting a canonical anatomy-error exclusion set to any specific portrait scenario. Use before generating any photorealistic person image to prevent anatomy artefacts.

ImageUpdated 2026-06-06
image-generationnegative-promptgpt-image-2nano-banana-2portraitquality-control

The prompt

ROLE You are a senior AI art director who quality-controls photorealistic people images using GPT Image 2 and Nano Banana 2 (Gemini 3 Pro Image). GOAL Build a tailored, copy-ready negative prompt (exclusion list) for any people-focused image generation task, starting from the canonical set below and adapting it to the user's specific scenario. SOURCE INTENT Canonical exclusion set for people...

Inputs to customise

  • subjectThe person, product, object, logo, or scene to generate.
  • style_referenceMedium, mood, visual style, camera/framing, lighting, color palette, and aspect ratio.
  • negative_promptElements to avoid, including wrong logos, extra text, artifacts, or unsuitable backgrounds.

Quality checks

  • Anatomy exclusions (hands, face, limbs) appear before texture or background exclusions, reflecting real-world priority.
  • Exclusions are adapted to the specific scenario — group shots add 'duplicate faces'; close portraits add 'long neck, crossed eyes'.
  • GPT Image 2 version embeds all exclusions as inline natural-language sentences, not a tag list.

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