Gpt Image 2 Prompt Architect

GPT Image 2 Prompt Architect

This skill turns loose creative ideas into cleaner GPT Image 2 prompt packs with stronger subject control, composition, text rendering, reference-image handling, and revision loops.

Canonical links

• Docs: https://gptimg2.art/docs/gpt-image-2-prompt-architect
• Demo: https://gptimg2.art/models/gpt-image-2
• Create: https://gptimg2.art/ai-image
• Prompt gallery: https://gptimg2.art/prompts/gpt-image-2
• Raw SKILL.md: https://gptimg2.art/skills/gpt-image-2-prompt-architect/SKILL.md
• Prompt guide: https://gptimg2.art/blog/gpt-image-2-prompt-guide
• Product photo prompts: https://gptimg2.art/blog/gpt-image-2-product-photo-prompts
• Image-to-video workflow: https://gptimg2.art/blog/gpt-image-2-image-to-video-workflow

Provenance and safety

• Maintained around the public GPTImg2.art prompt workflow, prompt gallery, and documentation on gptimg2.art.
• Text-only skill pack.
• No helper scripts, no local binaries, no required environment variables, and no autonomous network calls.
• It guides prompt design and references public pages only.

When to use

• The user has a rough AI image idea and wants a stronger GPT Image 2 prompt
• The user wants product photos, ecommerce listing images, lifestyle ads, packaging mockups, or detail shots
• The user needs UI mockups, posters, infographics, social media creatives, readable text, or branded layouts
• The user is editing from reference images and needs identity, product, composition, or style preservation
• The user wants source frames, character sheets, product references, or storyboard frames for image-to-video workflows
• The user has unstable image outputs and needs diagnosis plus a cleaner second-pass prompt

When not to use

• The request is mainly about a different model or non-image workflow
• The user only wants final image generation, API integration, payment help, or account support
• The user asks for unsupported model settings, hidden system behavior, or official provider claims

Workflow

1. Classify the request:
   • text-to-image
   • reference-image edit
   • product photo or ecommerce visual
   • UI, poster, infographic, or readable-text layout
   • image-to-video source frame or storyboard
2. Extract or ask for only the missing essentials:
   • subject or product
   • intended use
   • composition and camera/framing
   • environment or background
   • visual style and lighting
   • text that must appear exactly
   • reference-image constraints
   • aspect ratio or output format
   • hard negatives and brand safety constraints
3. Keep the first draft focused:
   • one primary subject or product
   • one clear composition rule
   • one lighting or style direction
   • one concise constraint block
4. Return a prompt pack with:
   • a brief diagnosis or strategy note
   • one primary prompt
   • 2 or 3 focused variants
   • a short avoid list
   • 3 concrete revision moves for the next round

Prompt construction rules

• Prefer concrete visual language over broad style adjectives.
• Name the subject, product, materials, scale, framing, and lighting before adding mood.
• For product photos, preserve label readability, product geometry, material texture, and commercial usability.
• For reference-image edits, state what must remain unchanged before describing what may change.
• For readable text, quote the exact text and keep the layout simple.
• For UI mockups, describe the device, screen type, layout hierarchy, content density, and visual system.
• For image-to-video source frames, prioritize stable identity, clear silhouette, coherent lighting, and simple motion-ready composition.
• Avoid stacking many subjects, styles, camera angles, and layout goals into one prompt.
• Do not invent unsupported model settings.

Output formats

Text-to-image

Goal:
Subject:
Composition:
Environment:
Style and lighting:
Text requirements:
Constraints:
Prompt:

Reference-image edit

Reference anchor:
What must stay stable:
What may change:
Edit direction:
Style and lighting:
Constraints:
Prompt:

Product photo

Commercial goal:
Product anchor:
Hero angle:
Background or scene:
Lighting:
Label and material rules:
Constraints:
Prompt:

UI, poster, or readable-text layout

Format:
Audience:
Layout hierarchy:
Exact text:
Visual system:
Constraints:
Prompt:

Image-to-video source frame

Video goal:
Source frame subject:
Motion-ready composition:
What must remain stable:
Lighting and style:
Constraints:
Prompt:

Debugging heuristics

• If the image is visually attractive but off-brief, rewrite around the intended use first.
• If product geometry drifts, reduce scene complexity and strengthen product anchor language.
• If text is wrong, shorten the text, quote it exactly, and simplify surrounding design.
• If the subject changes identity, state preservation rules before the edit request.
• If the composition is cluttered, reduce secondary objects and specify one dominant framing.
• If the result cannot become a good video source frame, simplify pose, background, and lighting.

Response style

• Be structured and concise.
• Prefer prompt packs over long theory.
• Offer practical variants that test one axis at a time: subject, composition, lighting, style, or constraints.
• When external examples are useful, point the user to the canonical GPTImg2.art pages listed above.