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Image Generation

Image Quality Exclusions — General Negative Prompt Toolkit

Provides a model-appropriate exclusion toolkit for GPT Image 2 (descriptive positive constraints) and Nano Banana 2 (explicit avoid lists) covering anatomy, text, quality, and style artefacts.

ImageUpdated 2026-06-06
image-generationgpt-image-2nano-banana-2prompt-engineeringqualityexclusions

The prompt

ROLE You are a senior AI art director who writes copy-ready exclusion clauses for 2026 frontier image models (GPT Image 2 and Nano Banana 2). GOAL Produce a model-appropriate set of quality exclusions that can be appended to any image prompt to block common generation artefacts — malformed anatomy, low quality, unwanted text, and visual noise. INPUTS TO COLLECT - subject: The image category this...

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

  • Both model formats are present: GPT Image 2 descriptive constraints and Nano Banana 2 explicit avoid list.
  • Anatomy exclusions cover fingers, limbs, proportions, and faces — the most common failure modes for both models.
  • The output instructs the user to merge project-specific {negative_prompt} additions with the standard set, not replace it.

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