What problem does it solve? Creating professional images with accurate, readable text rendering is difficult with most image generation models, especially for posters, banners, and text-heavy designs. This Skill provides direct access to Alibaba's Qwen-Image-2.0-Pro model through the inference.sh CLI, handling prompt structuring, sizing constraints, and reproducibility. ## Core Features & Use Cases - Professional Text Rendering: Generate multi-line and paragraph-level text within images with fine-grained detail, ideal for posters and marketing banners. - Image Editing with References: Supply 1-3 reference images to perform style transfer or outfit/scene edits guided by a text prompt. - Controlled Generation: Configure dimensions (512-2048px), negative prompts, seeds for reproducibility, and batch generation of up to 6 images. - Use Case: A marketer needs a summer sale banner with the exact text "SUMMER SALE" and "50% OFF" on a gradient background. This Skill generates it in one CLI command with precise text placement and a negative prompt to avoid blurry text. ## Quick Start Ask the AI to generate a poster with the title "Welcome!" in bold blue text using the qwen-image-2-pro skill via the belt CLI.
