image▌

Generate customizable article cover images across 5 independent dimensions and 3 aspect ratios. \n \n Combines 6 image types (hero, conceptual, typography, metaphor, scene, minimal) with 10 color palettes and 7 rendering styles for fine-grained visual control \n Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects, plus additional ratios (4:3, 3:2, 3:4) \n Auto-analyzes article content to recommend dimensions, or accepts explicit flags for type, palette, rendering, text level

Fast, optimized image generation with Pruna's P-Image models via inference.sh CLI. \n \n Four model variants: P-Image for text-to-image, P-Image-LoRA with 11 preset styles, P-Image-Edit for image editing, and P-Image-Edit-LoRA for stylized edits \n Supports multiple aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, custom) and multi-image compositing for collages and combinations \n Requires inference.sh CLI ( infsh ) and login; run models via infsh app run pruna/[model-name] with JSON input p

Category: test

Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Best for professional text rendering and complex designs.

Convert ```mermaid code blocks in Markdown (or other text) files into PNG images, and replace the code blocks with image references. Useful for platforms that don't render Mermaid natively (GitHub Pages/Jekyll, Dev.to, etc.).

Create social sharing images (Open Graph) via inference.sh CLI.

Generate professional, optimized prompts for AI image generation tools with primary support for Google Gemini (Nano Banana), plus Midjourney, Stable Diffusion, DALL-E, Leonardo.ai, and others.

Send images to Feishu (Lark) conversations. This skill works both inside OpenClaw and as a standalone CLI tool.

Generate responsive <picture> elements for Hyvä Theme templates using the \Hyva\Theme\ViewModel\Media view model.

Guides image optimization for Google Search (text results, Image Pack, Google Images, Discover), Core Web Vitals (LCP), and accessibility. Consolidates image-related best practices from components (hero, trust-badges) and pages (landing-page). References: Google Image SEO, Semrush Image SEO.