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Generate or edit images using AI models for various visual content needs.

Category: test \n Minimal Viable Test \n Goals \n \n Validate only the minimal request path for this skill. \n If execution fails, record exact error details without guessing parameters. \n \n Prerequisites \n \n Prepare authentication and region settings based on the skill instructions. \n Target skill: skills/ai/image/alicloud-ai-image-qwen-image \n \n Test Steps (Minimal) \n \n Open the target skill SKILL.md and choose one minimal input example. \n Send one minimal request or run the example

Category: test

Analyze images using Gemini's vision capabilities for OCR, UI analysis, and visual understanding. \n \n Supports PNG, JPEG, GIF, and WebP images including screenshots, diagrams, charts, and code snippets \n Built-in analysis templates for common tasks: text extraction, code recovery, UI/UX feedback, error diagnosis, and data extraction from charts \n Handles single and multiple image comparisons in a single request \n Requires Google Generative AI library and valid GEMINI_API_KEY environment var

Enhance image resolution, sharpness, and clarity for professional-quality output. \n \n Analyzes and improves resolution, sharpness, and compression artifacts; intelligently upscales images while reducing noise \n Supports batch processing of entire directories and preserves original files automatically \n Optimizes output based on intended use case: web, print, social media, or presentations \n Works best with screenshots and digital images; accepts PNG and JPG formats with configurable output

Generate high-quality images via Gemini models with structured prompts, aspect ratios, and brand validation. \n \n Supports multiple Gemini models (gemini-3-pro-image, gemini-2.5-flash-image, gemini-2.5-pro-image) optimized for different quality and speed tradeoffs \n Enforces structured prompt format covering subject, style, lighting, mood, composition, aspect ratio, and brand colors to ensure consistent outputs \n Includes validation workflows across multiple agents for prompt completeness, st

Unified access to 8 AI image generation models with automatic model selection and zero API key setup. \n \n Supports Midjourney, Flux (Pro/Dev/Schnell), Ideogram, Recraft, SDXL, and Nano Banana with automatic model routing based on user intent \n Handles Midjourney's async polling transparently; all models return consistent output format with image URLs \n Includes Midjourney actions (upscale, variation, reroll) and reference image support for style consistency \n All requests routed through hos

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