奔跑接吻

Toss & Run is a 2026 short-form wedding format where two portraits are turned into a 7-second flower-toss clip — magic-hour light, petal drift, the couple sprinting hand-in-hand through cheering guests. ClipTrend's ai wedding photo generator runs the preset as a one-click template, so two clean portraits return a cohesive 1080p motion clip rather than a still composite. The format spread first through engagement-announcement content in late 2025, then crossed into proposal-reveal videos by early 2026, which is part of why the preset reads as native to those two specific use cases rather than as a generic AI wedding video tool.

A wedding video tool. Most ai wedding planner products focus on the pre-day workflow — venue mockups, color palettes, seating-chart drafts, dress visualizations. Toss & Run does none of that. It is a single-moment motion preset that produces a finished short-form clip from two portraits, intended for announcement, save-the-date, or recap content rather than day-of planning. If you need actual planning support (vendor matching, timeline scheduling, budget tracking), pair Toss & Run with a dedicated ai wedding planner product — they are complementary tools rather than competing categories, and most engaged couples end up using one of each.

The left panel shows two drop-zones side by side, marked "Partner A" and "Partner B". Drag a portrait into each slot, or click to open the file picker. The two slots are symmetric for rendering purposes — the order does not affect how the preset composites the scene, only the on-screen position in the preview thumbnails. Both must be filled before Generate becomes active. If you want a specific partner on the left of the final clip, the easiest approach is to render once, check the layout, then swap the slot assignments and re-render rather than trying to guess which slot maps to which position.

ClipTrend is pay-as-you-go with no subscription required. A Toss & Run clip costs 101 credits at the current pricing — slightly higher than a single-portrait preset because the model reconciles two identities into one scene rather than animating one. A Starter pack at $19.90 covers multiple runs. Render time is 90–150 seconds on the ClipTrend GPU queue, and failed renders are auto-refunded so you only pay for clips that actually deliver. The pay-as-you-go model fits the wedding-content use case better than a monthly subscription because most couples ship one announcement and a few variations rather than a steady content stream.

Identity preservation depends on input photo quality. The preset works best when both portraits are front-facing, well-lit, and roughly the same crop — head-and-shoulders rather than full-body. If one partner looks off, re-run with a cleaner version of just that portrait while keeping the other slot the same. The preset randomizes background details each take while keeping the identity lock, so a re-run usually fixes a face read without changing the overall scene. Engagement-shoot headshots tend to outperform casual selfies because the lighting and framing are closer to what the preset expects, which gives the model more signal to lock onto.

Yes. A typical content stack pairs a wedding hashtag generator ai tool — which produces the lexical assets like #JessAndJoeForever — with a motion preset like Toss & Run, which produces the visual asset. The clip is what people watch; the hashtag is what they search. Most engagement announcements pin the Toss & Run clip with the generated hashtag as the first caption line, then tag the venue and photographer under it. The two outputs work together as a content stack rather than competing assets, and the combined post tends to outperform either piece alone in the recommendation feed.

Every run produces a 7-second 1080p clip in 3:4 portrait framing. Length and aspect ratio are fixed because the Kling effect_scene preset is locked at those parameters — that is what gives the trend its consistent short-form look across many uploads. For longer recap content, stitch multiple renders together in your editor; ClipTrend does not extend duration server-side. The 3:4 portrait frame still fits TikTok, Reels, and YouTube Shorts cleanly (those feeds accept anything taller than 1:1), and the slightly less elongated crop keeps both partners in frame during the run beat rather than chopping a head off the way a strict 9:16 crop would.

Yes, and the disclosure is especially important for wedding content because viewers tend to assume couple portraits are real. Every clip is AI-generated and should be labeled accordingly when you publish — TikTok and Instagram both expect creators to toggle the "AI-generated content" disclosure on synthetic motion. For save-the-date or proposal-recap use, the standard pattern is a caption line like "AI-generated preview, real wedding date below" so the announcement still reads honestly. The honest framing tends to perform better than a non-disclosed post, because the algorithm favors compliant accounts and the audience trust signal compounds over time.