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URL: https://apify.com/scenic_telescope/reverse-prompt-engineer

⇱ Reverse Prompt Engineer Β· Apify


Pricing

$190.00 / 1,000 successful reverse prompts

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Reverse Prompt Engineer

Reverse-engineer reusable image-generation prompts from reference images or visual descriptions through a protected Codex worker.

Pricing

$190.00 / 1,000 successful reverse prompts

Rating

0.0

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Developer

πŸ‘ ping

ping

Maintained by Community

Actor stats

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2

Total users

1

Monthly active users

25 days ago

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Reverse-engineer reusable image-generation prompts from a reference image URL or a detailed visual description, powered by a token-protected Codex worker.

This Actor is designed for creators, prompt engineers, AI image teams, and agent workflows that need visual references converted into structured Chinese/English prompts for Midjourney, Flux, Stable Diffusion, Doubao, Jimeng, DALL-E, or model-neutral use.

What It Does

  • Accepts a reference image URL or visual description.
  • Classifies the image type: logo, typography, landscape, portrait, illustration, 3D/C4D, toy character, or mixed.
  • Applies the reverse-prompt-engineer workflow locally through Codex.
  • Returns a structured markdown prompt package.
  • Labels uncertain inferences instead of inventing hidden details.
  • Avoids protected character or living-artist names in generation prompts by converting them into visual traits.

When To Use It

Use this Actor when you need:

  • image-to-prompt analysis,
  • bilingual Chinese/English prompts,
  • Midjourney-style or model-neutral generation prompts,
  • negative prompts and recommended parameters,
  • an Apify API wrapper around a Codex prompt workflow.

Input

Required:

  • One of:
    • referenceImageUrl
    • visualDescription

Optional:

  • targetModel: model-neutral, midjourney, stable-diffusion, flux, doubao, jimeng, or dall-e.
  • imageType: optional category hint.
  • outputLanguage: bilingual, zh, or en.
  • includeNegativePrompt: include a negative prompt section.
  • includeParameters: include generation parameters when useful.
  • notes: extra user intent or constraints.

Example input:

{
"visualDescription":"Chrome 3D text logo on a blue gradient background, beveled edges, glossy reflection, centered studio composition",
"targetModel":"midjourney",
"imageType":"typography-logo",
"outputLanguage":"bilingual"
}

Output

The default dataset receives one item:

{
"ok":true,
"status":"completed",
"chargedEvent":"reverse-prompt",
"chargedCount":1,
"provider":"codex-local",
"targetModel":"midjourney",
"imageType":"typography-logo",
"outputLanguage":"bilingual",
"markdown":"## 中文拆解\n..."
}

The markdown field contains:

  • Chinese visual breakdown
  • Chinese generation prompt
  • English prompt
  • Negative prompt when useful
  • Parameters when useful

Pricing

This Actor uses pay-per-event pricing.

  • Event: reverse-prompt
  • Price: $0.19 per successful reverse prompt
  • Failed validation and worker errors are not charged by this custom event.

Worker Requirement

The Actor calls a protected Codex worker configured by the Actor owner through secret environment variables. Public users do not need to provide worker credentials.

For local development of this project, run:

$npm run serve-apify-worker

Cloud runs require WORKER_URL and WORKER_TOKEN to be configured privately on the Actor. Secret values must never be committed to source control or pasted into issue threads.

Security

  • The Actor does not accept shell commands, process settings, or executable paths from user input.
  • JSON keys and string values are scanned for script and command-like content.
  • Local filesystem paths are removed from public output.
  • Worker URL and token are owner-managed secrets, not user input fields.
  • The Codex skill runs behind a protected worker, not inside user-controlled request JSON.

Suggested Store Metadata

  • Category: AI tools
  • Tags: reverse-prompt, image-to-prompt, prompt-engineering, midjourney, flux, stable-diffusion, codex-local, a2a, agent
  • Pricing: pay per event, $0.19 per successful reverse-prompt

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