Zhipu GLM-Image Generation

Problem

When building front-end demos, content pipelines, or AI workflow prototypes, a prompt-specific image is often needed immediately. Manual placeholders, ad-hoc scripts, or hard-coded endpoints create friction: parameters drift, temporary links expire, watermark rules are unclear, and content-safety checks can be missed. Zhipu GLM-Image Generation wraps the text-to-image call into a reusable skill, reducing one-off HTTP requests and response parsing.

How It Works

The skill centers on a single image generation call. A caller usually provides:
- prompt: the visual description; more specific prompts tend to produce more usable results
- size: defaults to 1280x1280, with common landscape and portrait options such as 1568×1056, 1056×1568, and 1728×960, suitable for avatars, posters, covers, and short-video thumbnails
- watermark: enabled by default to satisfy platform compliance requirements; disabling it requires completing the relevant disclaimer on the Zhipu platform

On success, the skill returns an image URL that can be previewed, downloaded, or used for temporary display.

Boundaries

It is suitable for validating visual direction, generating demo assets, or adding image output to a workflow, but the returned link should not be treated as long-term storage. The material states that temporary links expire after 30 days, so production images should be moved to object storage or a CDN promptly. When calls fail, check the API key, account quota, prompt compliance, and whether dimensions are multiples of 32 with total pixels not exceeding 2^22. The current capability defaults to GLM-Image, so do not assume support for every Zhipu image model or every image-editing task.