pr0ta-image

Generate PR0TA images with model guidance and prompt structure.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/jeffamerican/pr0ta-plugin --skill pr0ta-image
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr0ta-image
Source: https://github.com/jeffamerican/pr0ta-plugin/tree/main/skills/pr0ta-image
Command: npx skills add https://github.com/jeffamerican/pr0ta-plugin --skill pr0ta-image

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PR0TA image generation often requires selecting the right model, tuning prompts, and maintaining visual consistency across frames and scenes. This Skill provides a structured approach to choose the best image models (e.g., GPT Image 2, Nano Banana 2) and craft prompts that yield stable results, while outlining editing options and workflows to keep style coherent across productions.

Core Features & Use Cases

  • Guidance on model selection and fallbacks (GPT Image 2 as default, Nano Banana 2 for dimension control, Flux variants as permissive options).
  • Prompting strategies and editing modes (txt_to_img, img_to_img, ref_to_img, edit_img) for consistent character and scene visuals.
  • Workflow integration for key frames, reference imagery, and production stills, plus guidance for video prep and post-processing.

Quick Start

Generate a 1920x1080 image of a neon city at night using GPT Image 2 with a moody blue palette.

Frequently Asked Questions about pr0ta-image

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

FAQPage Schema
How do I maintain visual consistency across different image generation workflows?

PR0TA image generation maintains visual consistency by applying structured prompts and model defaults across workflows like key-frame creation and video prep. Using modes like img_to_img and ref_to_img ensures stable character and scene visuals.

What is the best way to structure prompts for consistent PR0TA image generation?

The best way to structure prompts for PR0TA image generation is to follow model-specific guidance detailing defaults and editing modes. This approach yields stable results and satisfies technical requirements for key-frame creation and edits.

Which image model should I choose for dimension control versus permissive generation?

For dimension control in image generation, choose Nano Banana 2. For permissive options, use Flux variants. GPT Image 2 serves as the default model, providing a reliable fallback for general PR0TA visual production needs.

Can I use reference imagery to keep characters consistent across multiple scenes?

Yes, you can use the ref_to_img editing mode to keep characters consistent across multiple scenes. This mode integrates reference imagery into the generation workflow, ensuring style and character coherence throughout production stills.

When should I use fallback models instead of the default GPT Image 2?

You should use fallback models instead of the default GPT Image 2 when you need specific capabilities like dimension control or more permissive generation. Switch to Nano Banana 2 or Flux variants to satisfy those technical workflow requirements.