[WordPress] 外掛分享: ViewWear AI Try-on

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WordPress 外掛 ViewWear AI Try-on 的封面圖片
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WordPress 6.0+ PHP 7.4+ v2.1.2 上架:2026-10-26

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⬇ 下載最新版 (v2.1.2) 或搜尋安裝

① 下載 ZIP → 後台「外掛 › 安裝外掛 › 上傳外掛」
② 後台搜尋「ViewWear AI Try-on」→ 直接安裝(推薦)
📦 歷史版本下載

原文外掛簡介

ViewWear AI Try-on adds a “Virtual Try-On” button to your WooCommerce clothing products. The shopper uploads a photo or uses their camera, and a few seconds later sees themselves wearing the product – in the colour and variation they picked.
Free AI option
ViewWear works with a free Cloudflare account (no credit card). Cloudflare Workers AI includes 10,000 free “neurons” a day – about 80 try-ons with the FLUX.2 Klein 4B model. On the Workers Free plan you are never billed: when the daily allowance runs out, try-ons simply pause until 00:00 UTC.
Prefer Google? ViewWear also works with Google Gemini image models (paid by Google, no free tier for images). The newest model is picked automatically.
Features

Try-on popup on product pages: upload, drag and drop, or camera (front / back camera switch on phones and tablets)
Shoppers can choose which product photo to try and pick size / colour in the popup
Before / After slider and side-by-side view
Add to Cart straight from the result
Download and share (WhatsApp, Facebook, X, Pinterest, or the phone’s share sheet)
Face accuracy: the photo is cropped around the shopper before it is sent, and the shopper’s real face can be blended back into the result – both run in the shopper’s browser
Optional “garment-only” photo per product for the most faithful results
Turn try-on on for all products, per product, or with bulk actions on the Products list
The shopper’s photo can be remembered in their own browser for 24 hours (they can remove it at any time)
Abuse protection you control: try-ons per visitor, wait between tries of the same product, store-wide daily cap, logged-in shoppers only, proxy setting
Image settings: size and JPEG quality sent to the AI, and reuse of earlier results for the same photo and product
Analytics for 7, 30 or 90 days: try-ons, success rate, button clicks, top products and why try-ons failed
Privacy: consent checkbox, suggested privacy-policy text, WordPress personal-data eraser, automatic deletion of try-on images
Works with page caching, HPOS and the block checkout

ViewWear Pro
ViewWear AI Try-on Pro is a separate, optional add-on plugin that you install next to this one. It adds its own features: try-on by product category, “Try On” links on shop and category pages, a shortcode for any page or page builder, “Try more products” suggestions, and sales tracking (add to carts, orders and revenue from try-ons, with a dashboard widget). This free plugin has no locked or limited features.
External services
ViewWear needs an AI image service to create the try-on picture. Nothing is sent anywhere until the store owner has entered their own API credentials and a shopper ticks the consent box and starts a try-on.
Cloudflare Workers AI (when selected under ViewWear > AI Settings)

What is sent, and when: when a shopper starts a try-on, their photo (resized to under 512 px) and the product photo, plus a text instruction with the product name and short description. When the store owner presses “Test connection”, only the credentials are checked (no image).
Endpoint: api.cloudflare.com
Terms of service: https://www.cloudflare.com/terms/ – Privacy policy: https://www.cloudflare.com/privacypolicy/

Google Gemini API (when selected under ViewWear > AI Settings)

What is sent, and when: when a shopper starts a try-on, their photo and the product photo (resized), plus a text instruction with the product name and short description. When the store owner opens AI Settings or presses “Test connection”, the list of available models is requested with the API key (no image).
Endpoint: generativelanguage.googleapis.com
Terms of service: https://ai.google.dev/gemini-api/terms – Privacy policy: https://policies.google.com/privacy

ViewWear itself does not collect any data and does not “phone home”. Face detection for “Crop to the shopper” and “Keep the real face” runs entirely in the shopper’s browser with the bundled face-api library; no extra data is sent.

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