Felt Craft Pendant Design

Problem addressed

Felt-craft pendant design often gets stuck between a reference photo and a workable craft pattern: the image shows the appearance, but not the outline, color scheme, stylization, or part breakdown. This skill targets DIY pattern generation. It converts a product image or Base64 input into a felt-craft pendant design image and a parts decomposition view, with structured analysis results. It is useful for engineers, makers, and crafters who need to preview a handcrafted pendant, refine design notes, or turn a character shape into cuttable parts.

How it works

The workflow is asynchronous. It first performs compliance checks, then uses a visual-understanding model to analyze the object’s form, palette, key details, stylization suggestions, and layering plan. It generates a polished design description under 200 characters and converts that description into image-generation prompt parameters. In real API runs, execute_task.py returns only a task_id, while query_task.py polls task status until the final design image URL is available. When showapi_appkey is missing, mock mode returns a one-shot preview JSON without executing those scripts, so the result is for previewing effects rather than real generation.

Boundaries and notes

img_url is required and accepts either an image URL or a Base64 string. All real tasks are forced into asynchronous execution; synchronous mode is not supported. During polling, each returned data batch should be shared with the user immediately to avoid long silent waits. If the input image raises copyright, brand, or compliance concerns, verify it first. The output is intended as a craft reference and does not guarantee commercial production readiness or precise engineering cutting accuracy.