Professional Logo Generation

Problem

Logo generation often gets stuck when a user only provides a theme, color, and target size. Direct image generation can produce inconsistent proportions, unclear brand elements, or an image that cannot be delivered at the requested size. This skill turns those inputs into an executable pipeline. It accepts theme, color, and optional size, then aims to return a usable final logo URL and a high-resolution source URL. It is useful for brand marks, corporate logos, app icons, and profile avatars where quick generation and size verification matter.

How it works

The skill uses an asynchronous task model instead of a single synchronous response. The main steps are:

• Size calculation: derive the high-resolution canvas size from the target logo size.
• Prompt construction: convert descriptions such as “tech planet” and “blue with silver” into a logo-oriented image prompt.
• High-resolution generation: generate a large image using the image model.
• Status polling: query the task by task_id; the material says polling happens roughly every 6 seconds, with a maximum wait of 15 minutes.
• Precise scaling: resize the large image to the requested size and return final_logo_url and large_image_url.

Real calls require configuring showapi_appkey. Without it, the skill can trigger a simulated call that returns preview results in one response. That preview is for checking effect only and is not real generated content. The final output is usually JSON, and a simple HTML page can be generated to display the image.

Notes

theme and color are required. size is optional and uses the "widthxheight" format, defaulting to 256x256. The workflow stresses reporting each polling response to the user immediately to avoid long silent waits. Because all tasks are forced to run asynchronously, integration code should not assume an image URL is available immediately after submission.