Finger Swipe

An AI outfit swap is a model that takes a portrait photo plus a separate clothing photo and re-renders the portrait wearing the new outfit, then animates the swap as a short motion clip. ClipTrend's template returns a 5-second 1080p MP4 in 3:4 vertical format and the swap happens in a single finger-swipe wipe, so what posts to TikTok or Reels reads as motion instead of a still try-on image. It works as a one-click AI outfit changer — no prompt to write, no model selection, no clothing description required.

Upload one portrait into the left dropzone, upload one clothing photo into the dropzone below it, then click Generate. The template hands both images to Kling's effects/finger-swipe preset through our kling-direct provider; a render typically takes 60–90 seconds and you download the MP4 from the right panel when the status pill flips to Complete. No prompt, no parameter tuning, no subscription required — credits are pay-as-you-go.

The Kling video model accessed through Kling.ai's Effects Center finger-swipe preset. ClipTrend wraps that endpoint via our kling-direct provider so trend prompt updates from Kling flow into the template without code changes on our side. The model is tuned for identity preservation, garment alignment on the body, and the signature finger-swipe wipe transition that powers the current TikTok trend.

New ClipTrend accounts get welcome credits that cover the first AI outfit changer free trial, and after that the template runs at 51 credits per generation. A Starter pack at $19.90 covers multiple runs and credit packs come with a 2-year validity window on packs. Failed renders are auto-refunded to your credit balance, so you only pay for clips that actually deliver — there is no monthly subscription and no card-on-file requirement to try it.

Both images should be JPEG or PNG, minimum 300 pixels on the shorter edge, under 10 MB each. For the portrait, use a single-subject front-facing photo with the subject filling the upper half of the frame. For the clothing photo, flat-lay garment shots on a plain background work best, though mannequin photos and clean catalog shots are also reliable. Avoid heavy filters on either image and avoid frames where multiple outfits or multiple people are visible.

Yes. The portrait dropzone accepts any clean front-facing portrait — your own selfie, a friend who has consented to be in the clip, a pet portrait, or a stylized AI portrait. The model treats whatever you upload as the focal subject and renders the new garment onto that subject. ClipTrend follows standard AI-content terms: please only upload portraits you have the right to use, and disclose AI generation when you post the resulting clip.

It overlaps but is different. AI virtual try-on usually means a static image where the user sees themselves wearing a product on an e-commerce page. ClipTrend's ai outfit swap is the motion-video version of that idea — same garment-on-subject result, but rendered as a 5-second clip with the swipe transition so it is shareable on TikTok and Reels as native short-form content. If you only need a still image, the static virtual try-on stack is the wrong tool for short video; if you need a clip to post, this is the right one.

Most outfit changer ai tools output a static PNG; ClipTrend ships a motion clip with the finger-swipe wipe baked in. We also do not flatten the outfit into a texture on top of the body — the Kling Effects Center preset re-renders the garment in correct perspective for the portrait, which keeps the result usable as a real social post. The trade-off is that we run on a credit model (no unlimited free tier) and outputs are locked to 1080p 3:4 5-second clips by design — that is what gives the trend its consistent look.