image-generation

Generate images from text prompts in a Node.js backend by applying the z-ai-web-dev-sdk to process natural-language inputs and return base64-encoded image outputs ready for web application integration.

Yes, you can batch process multiple text-to-image generation requests using the provided CLI tool and backend service examples, which support batch pipelines alongside caching and retry logic for deterministic visual asset production.

Yes, this image generation approach supports a predefined set of multiple sizes and orientations, allowing you to produce specific visual assets like hero banners, portraits, and landscape formats for websites and marketing.

The best way to serve generated images through an API endpoint is to implement the included Express.js integration examples, handling base64 decoding, server-side caching, and retry logic to deliver deterministic image outputs reliably.

Yes, you need the z-ai-web-dev-sdk installed on the server side to create high-quality images from text prompts, as it provides the core generation engine and handles the base64 encoding required for the outputs.

Your text-to-image pipeline needs retry logic and caching to ensure deterministic image outputs and prevent service disruptions, handling temporary generation failures and avoiding redundant processing for repeated prompt requests.