image-gen

Generate, edit, upscale, and style-transfer images via multiple AI providers.

1|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/framerslab/agentos-skills --skill image-gen-framerslab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-gen
Source: https://github.com/framerslab/agentos-skills/tree/main/registry/curated/image-gen
Command: npx skills add https://github.com/framerslab/agentos-skills --skill image-gen-framerslab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires OPENAI_API_KEY, STABILITY_API_KEY, BFL_API_KEY, FAL_API_KEY, REPLICATE_API_TOKEN, OPENROUTER_API_KEY, STABLE_DIFFUSION_LOCAL_BASE_URL, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive solution for creating, editing, and stylizing images using various AI-driven image processing techniques.

Core Features & Use Cases

  • Image Generation: Create new images based on textual descriptions and references.
  • Image Editing: Edit existing images with advanced features like img2img, inpainting, and outpainting.
  • Upscaling: Increase the resolution of images up to 4x super-resolution.
  • Variation and Style Transfer: Generate visual variations of images and apply the style of a reference image to a source image.
  • Use Case: If you need a set of character sheets for a role-playing game, you can use this skill to generate, edit, and style them in a consistent and efficient manner.

Quick Start

Generate a high-resolution image of a fantasy landscape with a dragon breathing fire, style transferred from a specific masterpiece painting.

Frequently Asked Questions about image-gen

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

FAQPage Schema
How do I generate images from textual descriptions and reference images?

AI image generation creates new visual content by processing your textual descriptions and reference inputs. This skill supports generating custom visuals by routing requests through configured image processing providers.

Can I do inpainting and outpainting for AI image editing?

Yes, AI image editing supports advanced manipulation techniques including inpainting and outpainting to modify existing images. You can alter specific regions or expand image boundaries using the configured image processing providers.

What API keys do I need to configure for AI image generation and upscaling?

AI image generation and upscaling require configuring API keys for providers like OpenAI, Stability, BFL, FAL, Replicate, OpenRouter, or a local Stable Diffusion base URL. You must supply these dependencies to enable the image processing services.

What is the best way to apply style transfer from a masterpiece painting to a source image?

The best way to apply style transfer is using AI image processing to extract the visual style from a reference masterpiece and apply it to your source image. This generates a new image combining the content of the source with the reference style.

Does this AI image processing tool support 4x super-resolution upscaling?

Yes, the image upscaling feature supports increasing the resolution of images up to 4x super-resolution. This allows you to enhance low-resolution visuals into high-quality assets using the configured image processing providers.

When should I use img2img variation generation for creative projects?

You should use img2img variation generation when you need to create visual alternatives of an existing image for creative projects like character sheets. It generates diverse outputs while maintaining visual consistency with the source material.

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