Toss & Run

AI Wedding Photo Generator — Toss & Run Couple Clip

Toss & Run — flower-toss wedding template from ClipTrend's AI Image to Video platform. Two portraits, 7s couple-running clip.

What is Toss & Run?

Toss & Run is ClipTrend's ai wedding photo generator that takes two portraits — one of each partner — and composites them into a 7-second flower-toss wedding moment, racing past cheering guests with petals in the air. The output is not a still photo. It is a 1080p motion clip with the same warm magic-hour light, the same confetti drift, and the same hand-in-hand sprint that drives the format on TikTok and Pinterest. Upload both photos, press Generate, and the underlying Kling video model returns the scene with both faces preserved across every frame. The whole loop from upload to MP4 download usually finishes in about two minutes, which makes the template practical for the iterate-and-try-again rhythm that wedding-announcement content tends to demand. Most tools branded as an ai wedding planner give you static mood boards, color palettes, and dress mockups — useful for the pre-booking stage, less useful when you want to actually see the moment in motion before the day arrives. Toss & Run is the opposite end of that workflow: you already know who you are marrying and roughly what the day will look like; you want a quick, shareable clip that captures the energy. The template treats wedding content the way a short-form video editor would, not the way a Pinterest board would. There is no dress picker, no venue dropdown, no color-palette selector — just two portrait slots and a Generate button, because that is what matches the format the trend actually rewards. The Toss & Run format spread through engagement-announcement and save-the-date content in late 2025, then crossed into proposal-reveal videos by early 2026. Unlike traditional ai wedding planning mockups that produce a single composite image, this preset is calibrated for short-form motion — guest crowd density, petal physics, fabric movement on a running stride, and the slight slow-motion bias on the run beat are all baked in so every clip reads as part of the same trend rather than a generic AI wedding video. That motion calibration is the hard part most general-purpose models still struggle with on a two-subject scene, because reconciling two identities while also keeping the running gait coherent is materially harder than a single-portrait composite. If you want a wedding AI video generator that takes two portraits and ships a finished clip, not a stack of stills you still have to animate yourself, this is the page. ClipTrend handles the Kling Direct API call, the polling, the storage, and the auto-refund on failed renders. The ai wedding photo generator runs on a metered credit model with no subscription, no card-on-file requirement to browse, and the same per-clip rate whether you generate one announcement or test a few variations before committing to the final post. You only handle the two photos, the caption, and the post.

AI wedding photo generator inside ClipTrend's AI Image to Video platform: upload two portraits for a 7-second flower-toss clip. Full motion, watermark-free, pay-as-you-go.

AI Wedding Photo Generator — Free Toss & Run | ClipTrend.ai

1. 1Upload two portraits using the two drop-zones on the left panel — one for each partner. Front-facing, head-and-shoulders, plain background, minimum 400px on the shorter edge, JPEG or PNG, under 10 MB each. Engagement-shoot headshots, ID-style portraits, or clean selfies all work; the cleaner the source, the better the identity lock on the final render.
2. 2Confirm both inputs render in the preview tiles before continuing. The template needs both faces locked before it queues the job; if one slot is empty the Generate button will stay disabled and the panel will surface a "second portrait required" hint at the bottom of the left column so you can fix the missing slot without leaving the workspace.
3. 3Leave the parameters in place — there is nothing to configure. This is a fixed-scene preset (1080p, 7-second clip, 3:4 portrait frame) and the production prompt is baked in on the server side, so the panel intentionally hides the scene description field, the posing knob, and any motion intensity slider you might see on a general-purpose two-portrait model elsewhere.
4. 4Press Generate. The status pill moves Queued → Generating → Complete, and a Toss & Run clip typically renders in 90–150 seconds — slightly longer than single-portrait presets because the model is reconciling two identities into one scene. The progress timeline shows each step so you know where the job is.
5. 5Preview the clip in the right panel. Re-run from the same two photos if you want a different petal density or crowd composition — the preset randomizes background details each take while keeping both partners on-model. Most couples run two or three takes, then pick the version with the cleanest face read.

• Engaged couples building a save-the-date Reel pull a recent ai wedding photo from the template by uploading two portraits — the clip plays as the centerpiece of the announcement, paired with the date card in the next frame, no actual venue shoot required before the booking is confirmed. The motion clip converts substantially better than a still announcement image in family group chats, partly because it answers the "what does the day look like" question in five seconds.
• Proposal recap creators who only have phone-camera snaps from the day use the template to fill in the cinematic moment that never got recorded — Toss & Run runs as an after-the-fact dramatization, with explicit AI disclosure in the caption alongside the real ai wedding planning footage. The pattern works because viewers understand a recap clip is reconstructive by definition, so a tagged AI section reads as honest storytelling rather than fabrication.
• Wedding-industry vendors (planners, florists, photographers) use the template to mock up the look-and-feel of a couple's upcoming day during a sales call — feed in the couple's engagement photos, generate the run clip, and end the meeting with a tangible motion preview instead of a slide deck. The close rate on those calls tends to lift noticeably because the couple sees themselves in the day, not a stock model that resembles them.
• Couples preparing their hashtag-and-content strategy pair the Toss & Run clip with a wedding hashtag generator ai workflow — the clip drives the visual brand of the hashtag, while the generator handles the lexical side. The clip itself is the asset both partners share to family group chats, and the hashtag is the asset guests use to tag their own photos at the actual day-of celebration, so the two outputs work together as a content stack rather than competing assets.
• Long-distance couples and same-sex couples who want representative AI wedding content built on real portraits run the ai wedding photos generator against their actual faces rather than stock model templates — the identity-preserving render means the couple in the clip is recognizably them, not a stylized stand-in. The representational accuracy matters for accounts whose audience expects the wedding content to actually reflect the couple making the announcement.

• One-click access to a production-grade ai wedding photo generator preset — no prompt engineering, no scene description, no separate dual-subject reconciliation pass to set up by hand. Most general-purpose video models require you to write a detailed two-subject prompt before you get a usable wedding clip; the Toss & Run template ships with that work already done on the server side, calibrated against the actual trend reference clips.
• Identity-preserving render across both partners: the wedding ai video generator keeps both faces on-model across every frame of the 7-second clip, so the announcement reads as the actual couple rather than two stand-ins composited together. The dual-identity lock is the part of the workflow that makes the template usable for accounts whose audience expects the wedding content to actually reflect the people making the announcement.
• Built on the official Kling video effects API — the same underlying model powering the original Toss & Run wave on TikTok and Pinterest — so what you ship is the actual scene rather than a lookalike approximation produced by a different base model. That matters because the algorithm pairs visually similar clips together, and a near-miss approximation does not get pulled into the same recommendation cluster as the real trend.
• Pay-as-you-go pricing with auto-refund on failed renders, a 101-credit cost per run, and no subscription required — practical for the one-off use cases that drive most wedding-content generation. Most engaged couples ship one announcement and a handful of variations rather than a steady content stream, which is exactly the usage pattern the pay-as-you-go model is built for.

• Fixed-preset ai wedding photo generator — two-portrait input, 7-second 1080p clip output, 3:4 portrait frame, scene locked to the magic-hour flower-toss moment that powers the trend. The fixed parameters are not a limitation but a feature: they are what keeps the announcement format visually consistent with the rest of the Toss & Run trend on the recommendation feed.
• Dual-subject identity preservation: the preset reconciles two faces into one scene without face-swap artifacts, which is the hard part of any two-portrait wedding clip and the reason most generic models struggle with this format. The reconciliation layer is also what allows the running gait to stay coherent across both partners, which is the second-hardest part of a two-subject motion scene.
• Direct integration with Kling's Effects Center via the kling-direct provider, so any preset refinement Kling ships flows into ClipTrend automatically — no template rebuild or prompt update required on our side. The integration model is the same one the Korean Baseball and Daily OOTD templates use, which is how the entire ClipTrend wedding catalog stays current with upstream model updates from week to week.