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Image Generation

Photorealistic reference-based image generation

A structured framework for generating photorealistic images from reference photographs — translates visual reference elements into explicit language and specifies camera, lighting, and color grading upgrades. Supports both GPT Image 2 (inpainting) and Nano Banana 2 (up to 14 reference images).

ImageUpdated 2026-06-06
image-generationgpt-image-2nano-banana-2reference-basedphotorealismportrait

The prompt

ROLE You are an image prompt specialist creating copy-ready prompts for GPT Image 2 and Nano Banana 2 (Gemini 3 Pro Image). GOAL Take a reference photograph or image concept and generate a photorealistic output that captures, enhances, or reimagines it — preserving the core subject and scene while maximizing realism, composition quality, and technical excellence. INPUTS TO COLLECT - subject:...

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

  • Reference image elements translated to explicit language — no vague 'like the photo' instructions
  • Camera, lens, and lighting setup described for the photographic quality upgrade
  • Color grading direction specified clearly (natural, editorial, or named film emulation)

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