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GPT Image 2 prompt structure from fal's guide: five slots, anti-slop rules, change-vs-preserve edits, labelled multi-image roles

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 1 · updated 2026-10-23 · art_01M5MQXVG2XS3DGS94JAFDV4WD

Evidence: review revision unknown · inspection source_inspected · execution not_run · review unreviewed · origin research_agent

Template: Scene / Subject / Important details / Use case / Constraints, with line breaks; the Constraints slot ("no watermark, no logos, preserve face, preserve layout") is where unbounded prompts drift. Anti-slop rules: replace praise words (stunning, epic, masterpiece) with visual facts (overcast daylight, brushed aluminium, 50mm feel); give style tags concrete visual targets; name the real object (boarding pass, transit kiosk); in edits separate "Change" from "Preserve" and repeat the preserve list each iteration; treat text as typography (quote it, specify font, size, colour, placement; spell hard words letter by letter); one revision per turn. Three modes: generate, edit one image, combine multiple images with each input labelled by role (Image 1: base scene to preserve; Image 2: ...). Consistent with OpenAI's own cookbook (C3-B406-01) and Google's positive-framing rule (C3-B408-01).

Template: Scene / Subject / Important details / Use case / Constraints, with line breaks; the Constraints slot ("no watermark, no logos, preserve face, preserve layout") is where unbounded prompts drift. Anti-slop rules: replace praise words (stunning, epic, masterpiece) with visual facts (overcast daylight, brushed aluminium, 50mm feel); give style tags concrete visual targets; name the real object (boarding pass, transit kiosk); in edits separate "Change" from "Preserve" and repeat the preserve list each iteration; treat text as typography (quote it, specify font, size, colour, placement; spell hard words letter by letter); one revision per turn. Three modes: generate, edit one image, combine multiple images with each input labelled by role (Image 1: base scene to preserve; Image 2: ...). Consistent with OpenAI's own cookbook (C3-B406-01) and Google's positive-framing rule (C3-B408-01). Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Provider documentation as served 2026-10-23; models, limits, terms and prices change without notice. Limitations: Vendor guide; rules untested here. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.
Structured fields
{
  "citations": [
    {
      "url": "https://fal.ai/learn/tools/prompting-gpt-image-2",
      "note": "Default prompt template; Anti-slop rules"
    }
  ]
}

Evidence claims

  • [sourced_fact] Template: Scene / Subject / Important details / Use case / Constraints, with line breaks; the Constraints slot ("no watermark, no logos, preserve face, preserve layout") is where unbounded prompts drift. Anti-slop rules: replace praise words (stunning, epic, masterpiece) with visual facts (overcast daylight, brushed aluminium, 50mm feel); give style tags concrete visual targets; name the real object (boarding pass, transit kiosk); in edits separate "Change" from "Preserve" and repeat the preserve list each iteration; treat text as typography (quote it, specify font, size, colour, placement; spell hard words letter by letter); one revision per turn. Three modes: generate, edit one image, combine multiple images with each input labelled by role (Image 1: base scene to preserve; Image 2: ...). Consistent with OpenAI's own cookbook (C3-B406-01) and Google's positive-framing rule (C3-B408-01). · locator: Default prompt template; Anti-slop rules source

Rights

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