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AI Virtual Try-On (Kling)

Upload a model image + a flat-lay garment image, get a composite in 25 seconds. Results can be used in product pages, live stream marketing, or chained into video generation.

Entry

  • Blogger: /blogger-admin/tryon/generator
  • Admin: /admin/tryon/generator (acting-as a blogger, charges admin AI wallet)

Three Model Image Sources

SourceDescription
My ModelsYour own uploaded model library ("My Models")
Platform ModelsShared library uploaded by platform admin, available to all bloggers
Temporary UploadSingle-use image, not added to library

Two Garment Sources

  • Product AJAX search — search by product name; system uses the product's AI Try-On reference image (flat-lay) first, falls back to first product image if empty
  • Direct upload — upload a temporary flat-lay image, single-use
⚠️ Tip: Kling works best with white-background flat-lay garments. For apparel products, upload a dedicated AI Try-On reference image (at the bottom of product edit page) — don't use product images with models wearing the garment.

Generation & Wait

  1. Pick model + pick garment → click "Generate"
  2. System charges + calls Kling API
  3. Frontend polls every 2 seconds, ~25s output (10-min timeout = auto-refund)
  4. Result image immediately downloaded to Cloudflare R2 (avoid Kling 30-day expiry)

Chain to Video

After try-on completes, click "→ Generate Video":

  • Try-on result becomes video starting frame
  • Video task links back via try-on task ID
  • Video list traceable back to original try-on

Pricing

  • RM 3.00 per run (price configurable in platform admin "AI Service Pricing")
  • Charged from admin AI wallet
  • Failed runs auto-refunded + quota restored
  • Up to 3 concurrent try-on tasks per blogger
  • Monthly limit: default 30 runs/blogger (AI Try-On quota, independent counting)

Deletion

Deleting a try-on record cascades:

  • R2 file deleted (if uploaded)
  • Linked video tasks' try-on reference set to NULL (migration 049)
发布于 2026/4/23
4 次浏览
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