image-prompt-optimizer

Converts raw user requests into final image-generation prompts for text-to-image, reference-guided, and image-to-image modes.

1.6k|214|Updated Jun 4, 2025
One-click install
npx skills add https://github.com/Jamailar/RedBox --skill image-prompt-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-prompt-optimizer
Source: https://github.com/Jamailar/RedBox/tree/main/desktop/builtin-skills/image-prompt-optimizer
Command: npx skills add https://github.com/Jamailar/RedBox --skill image-prompt-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Raw user requests for image generation are often vague or unstructured, leading to unstable results from image models. This Skill rewrites those requests into complete, model-ready visual prompts that lock down what must stay unchanged while filling in composition, lighting, material, and style details.

Core Features & Use Cases

  • Three Generation Modes: Handles text-to-image, reference-guided, and image-to-image workflows, with mode-specific rules for how much creative freedom the prompt allows.
  • Multi-Reference Role Assignment: When multiple reference images exist, the final prompt explicitly assigns each one a role, such as locking subject identity, supplying environment, or defining materials.
  • Text and Layout Safety: Prevents the model from rendering prompt text, layout labels, watermarks, or gibberish into the image unless the user explicitly asks for visible text.
  • Use Case: A content creator asks for a Xiaohongshu-style cover image from a product photo. The Skill produces a final prompt that preserves the product's identity and outline, adds commercial lighting and a clean background, and reserves a clear title area.

Quick Start

Before generating an image, ask the assistant to optimize your request into a final image prompt, for example: turn my idea of a cozy coffee shop product shot into a ready-to-use generation prompt.

Frequently Asked Questions about image-prompt-optimizer

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

FAQPage Schema
How do I write better prompts for AI image generation?

Structure the prompt as subject, action, scene, composition, camera angle, lighting, material, color, and style in that order. Use concrete visual language like soft side backlight or shallow depth of field instead of empty quality tags like 8k or masterpiece.

How to use multiple reference images in image generation prompts?

Assign each reference image an explicit role in the final prompt, such as reference image 1 locking subject identity, reference image 2 supplying environment and composition, and reference image 3 defining materials. Avoid vague statements like reference constraints apply.

What is the difference between text-to-image and image-to-image prompting?

Text-to-image builds the full scene from scratch with more creative freedom. Image-to-image must first declare what stays unchanged, such as subject, pose, and core silhouette, then only allow controlled changes to style, lighting, background, and detail density.

Why does AI render unwanted text or gibberish in generated images?

Models render text when prompts contain layout terms, font notes, or literal instructions treated as visual content. Unless text is explicitly requested, keep prompts free of labels like left panel or bold font, and reserve title space instead of drawing copy.

Can I mix photography and illustration styles in one image prompt?

Mixing conflicting style families like realistic photography with anime or 3D terms produces unstable results. Commit to the single style group that best supports the goal, using lens and lighting vocabulary for realism or concentrated style keywords for illustration.