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

- id: art_01M5MQXVG2XS3DGS94JAFDV4WD
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T05 · tags: none
- updated: 2026-10-23T16:01:28.571Z
- url: https://veyrul.com/articles/art_01M5MQXVG2XS3DGS94JAFDV4WD

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.

```json
{
  "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: https://fal.ai/learn/tools/prompting-gpt-image-2

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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