Generate, edit, and analyze multimodal images via prompts and references.
npx skills add https://github.com/zrt-ai-lab/opencode-skills --skill image-service
Please help me install this Agent Skill. Skill: image-service Source: https://github.com/zrt-ai-lab/opencode-skills/tree/main/image-service Command: npx skills add https://github.com/zrt-ai-lab/opencode-skills --skill image-service
This Skill unifies multimodal image generation, editing, and analysis into a single workflow, reducing tool fragmentation and accelerating visual content production.
使用 text_to_image.py 为信息图风格生成一张示例图片，尺寸为16:9。
High-intent search queries and answers about installing and using this skill.
Generate images from Chinese prompts using the text-to-image workflow, which supports configurable sizes and aspect ratios like 16:9. This feature produces high-quality visuals such as infographics and product images directly from descriptive text prompts.
Yes, you can stitch multiple images into a long scrolling image for marketing. The workflow supports long-image stitching, allowing you to combine several pictures into a single WeChat-style long image or unified e-commerce detail page visual.
Yes, the multimodal workflow supports image analysis and OCR tasks. You can perform image-to-text operations to extract text via OCR, generate image descriptions, and analyze content from existing images using integrated vision models.
The best way to edit existing images using references is the image-to-image workflow. It applies edits based on reference images and prompts, allowing you to modify existing pictures and maintain a consistent style across marketing assets.
Yes, you need Python with Pillow, httpx, and numpy installed to run this image generation workflow. These dependencies handle HTTP requests, image processing, and numerical operations required for the multimodal generation and editing scripts.
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