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Text-to-image and image-to-image generation using FLUX models via inference.sh CLI. \n \n Supports multiple FLUX variants: Dev LoRA (highest quality), Klein LoRA (fastest), and Pruna-optimized versions ranging from 4B to full-size models \n Enables LoRA fine-tuning for custom style adaptation and image-to-image transformations alongside standard text-to-image generation \n Requires inference.sh CLI ( infsh ) installation and authentication; models are invoked as named apps with JSON input payloa

Generate illustration images for blog posts, documentation, and technical articles using Google Gemini's Nano Banana 2 (gemini-3.1-flash-image-preview) model.

Official API-based image generation. Supports OpenAI, Google, DashScope (阿里通义万象), and Canghe providers.

This skill takes your images and screenshots and makes them look better—sharper, clearer, and more professional.

Design and generate Open Graph images optimized for social platform sharing with platform-specific dimensions and text placement. \n \n Covers seven major platforms (Facebook, Twitter/X, LinkedIn, Discord, Slack, iMessage) with standardized 1200 x 630 px dimensions and safe zone padding rules \n Includes pre-built HTML templates for blog posts, product launches, and tutorials, executable via the infsh html-to-image command \n Provides design guidelines for typography (48–64px titles, 20–28px sub

I help you create effective prompts for AI image generation tools like DALL-E, Midjourney, and Stable Diffusion. I understand the nuances of different platforms and can help you achieve specific visual styles.

Professional image generation with advanced text rendering, photorealistic details, and semantic accuracy via Alibaba Qwen-Image-2.0-Pro. \n \n Excels at text-heavy designs including posters, banners, and multi-line text with fine-grained control over font, color, and positioning \n Generates 1–6 images per request with configurable dimensions (512–2048 pixels), negative prompts, and reproducible seeds \n Supports image editing and style transfer via reference images for outfit swaps and creativ

Text-to-image and multi-image editing with Alibaba Qwen-Image-2.0 models via inference.sh CLI. \n \n Two models available: Qwen-Image-2.0 for fast general use, and Qwen-Image-2.0-Pro for professional text rendering and fine-grained control \n Supports text-to-image generation, multi-reference image editing (up to 3 input images), custom resolutions (512–2048 pixels), and negative prompts \n Key parameters include prompt extension toggle, seed-based reproducibility, watermark control, and batch g

Generate high-quality images via Gemini models with structured prompts, aspect ratios, and brand validation. \n \n Supports three Gemini models (gemini-3-pro-image, gemini-2.5-flash-image, gemini-2.5-pro-image) optimized for different quality-speed tradeoffs \n Enforces structured prompt format covering subject, style, lighting, mood, composition, aspect ratio, and brand colors to ensure consistency \n Includes multi-agent workflow for prompt validation, style verification, and output delivery a

Compresses images to WebP or PNG with automatic tool selection based on system availability. \n \n Supports WebP (default), PNG, and JPEG output formats with configurable quality (0–100, default 80) \n Automatically selects best available compression tool: sips, cwebp, ImageMagick, or Sharp \n Processes single files or directories recursively with options to keep originals or replace in-place \n Customizable via EXTEND.md configuration files at project, user home, or XDG config locations \n