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Generate images using Qwen models via Alibaba DashScope SDK with normalized request/response mapping. \n \n Supports four Qwen image generation models: qwen-image , qwen-image-plus , qwen-image-max , and versioned snapshots with consistent image.generate interface \n Normalized request parameters include prompt, negative_prompt, size (WxH format), optional style, seed, and reference_image for reproducibility and conditional generation \n Requires DASHSCOPE_API_KEY environment variable or credent

Generate AI images using the Labnana API. Supports text prompts with optional reference images, multiple resolutions, and aspect ratios. Images are saved as local files.

This skill generates high-quality images using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing image generation with optional reference images.

Generate and edit high-quality images using FLUX and Gemini AI models via OpenRouter. \n \n Supports both image generation from text prompts and editing of existing images with instruction-based modifications \n Two primary models available: Gemini 3 Pro (high quality, supports both generation and editing) and FLUX.2 Pro (fast, high quality, supports both modes); FLUX.2 Flex available for generation-only use cases \n Requires OpenRouter API key configured via .env file or environment variable; s

Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.

Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.

Image resizing, format conversion, optimization, and OG card generation using Pillow. \n \n Handles resize, crop, whitespace trimming, format conversion (PNG/WebP/JPG), compression, thumbnail generation, and Open Graph card creation \n Generates Python scripts adapted to your environment; falls back to sips (macOS), sharp (Node.js), or ffmpeg if Pillow unavailable \n Includes RGBA-to-JPG compositing, cross-platform font discovery, and format-specific quality settings (WebP 85, JPG 90, PNG optimi

Image processing and manipulation using ImageMagick across Windows, Linux, and macOS. \n \n Retrieve image metadata, dimensions, and format information with the identify command \n Resize single or batch images with aspect ratio control and thumbnail generation \n Filter and process images based on dimensions or file type criteria \n Requires ImageMagick installed and available as magick on PATH; includes platform-specific setup for PowerShell (Windows) and Bash (Linux/macOS) \n

Upscale and enhance images via inference.sh CLI.

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI.