Snap a photo, get a listing: a local Gemma 3 listing generator for secondhand clothes

说明与用途

该系统允许 Mano en Mano 的卖家通过上传 1‑4 张照片，快速生成 12 个字段的自动填充表单，表单由 Gemma 3 在 Ollama 上本地生成。

问题

Sellers on Mano en Mano must manually fill 12 fields for each garment, making bulk listings slow and discouraging listings.

结果

The system reduces listing time from minutes per garment to seconds, enabling sellers to list dozens of items efficiently while keeping data privacy and avoiding API costs.

工作流

• Upload 1‑4 photos of a garment
• Gemma 3 (gemma3:4b) runs locally in Ollama and analyzes the images
• The backend POST /generate-listing returns a JSON listing matching the marketplace’s schema
• The frontend displays an editable form pre‑filled with the generated data
• Seller reviews, corrects any fields, and publishes the listing

证据

Upload 1 to 4 photos of a secondhand garment and get an editable product listing with 12 fields, generated locally by an open-weight vision model.

来源

Gemma 3 (4B, vision‑capable), open weights.

来源

On my laptop, each garment takes roughly 15 to 30 seconds (the first request is slower because it loads the model).

来源

Sellers’ photos go from the browser to my own server to a model running on the same machine. They never reach a third party.

来源