Image Prompt Reverse

Analyze uploaded images and generate prompts for 19+ AI drawing models.

38|4|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/Qo-qiao/ComfyUI-omni-llm --skill image-prompt-reverse-qo-qiao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Image Prompt Reverse
Source: https://github.com/Qo-qiao/ComfyUI-omni-llm/tree/main/skills/image-prompt-reverse
Command: npx skills add https://github.com/Qo-qiao/ComfyUI-omni-llm --skill image-prompt-reverse-qo-qiao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Writing effective prompts for AI image generators is difficult, especially when trying to recreate an existing image's style, composition, and subject. This Skill reverse-engineers any uploaded image into precise, model-ready prompts so users can reproduce similar results across different AI drawing platforms. ## Core Features & Use Cases - Five-Layer Image Analysis: Systematically extracts subject, environment, lighting, composition, and quality features using a structured checklist. - Multi-Model Output: Converts one analysis into formats for SD1.5, SDXL, Flux, Midjourney, Pony Diffusion, GPT-Image2, and 12+ other models, including positive and negative prompts. - Character & Scene Recognition: Identifies anime characters, celebrities, and 20+ scene types (portrait, landscape, product photography, ink painting, pixel art) with confidence labeling. - Use Case: Upload a cyberpunk cityscape photo and receive ready-to-use prompts for Midjourney (with --ar and --s parameters), Stable Diffusion (with weight syntax and negative prompts), and Flux (natural language format) in one response. ## Quick Start Upload an image and ask the agent to reverse-engineer it into prompts for your target AI drawing models.

Frequently Asked Questions about Image Prompt Reverse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reverse engineer a prompt from an image?

Upload the image and request prompt reverse engineering. The skill applies a five-layer analysis covering subject, environment, lighting, composition, and quality, then outputs formatted prompts for your chosen AI drawing models.

What AI image models does prompt reverse engineering support?

It supports 19+ models including SD1.5, SDXL, Flux1, Flux2-Klein, Midjourney, Pony Diffusion, GPT-Image2, HunyuanImage, Qwen-Image, and Anima. Each output follows the model's native syntax such as weight notation, tag format, or natural language.

Can it identify anime characters or celebrities in images?

Yes, it matches features like hairstyle, clothing, and accessories against known anime characters and celebrities. Results include a confidence level, and unidentified subjects receive detailed feature descriptions instead of guesses.

Does it generate negative prompts for Stable Diffusion?

Yes, every SD1.5 and SDXL output includes a targeted negative prompt alongside positive quality words. Recommendations follow each model's conventions, such as score tags for Pony Diffusion.

How does it handle uncertain gender or unclear image details?

It cross-verifies gender using at least two features like clothing and hairstyle, and uses neutral terms such as 'a person' when uncertain. Blurry or occluded details are explicitly labeled rather than guessed.