Burning Bridges AI Video Maker
Make a burning bridges AI video from 1 or 2 photos: a toast under crystal chandeliers with a cheering room. 10 seconds is 125 credits. No face swap.
- From 63 credits per clip
- From your photos
- 5s / 10s / 15s
- 480P
- Audio available
The one who leads the toast
Sample result
10s · MP4
The one who leads the toast
About burning bridges AI video on Cicadas
Burning bridges AI videos remake a party toast from a music video. This page makes your own version from one or two photos: you raise a silver cup under crystal chandeliers while a packed room cheers, or you pour a drink for a friend and point at the camera. Cicadas makes it with MiniMax H3 Max as a new vertical clip of 5, 10 or 15 seconds. It does not put your face into the original video, draw the artist or use the song. A 10-second clip is 125 credits.
Burning bridges AI video examples made on Cicadas
A toast under the chandeliers.
MiniMax H3 Max, 10 seconds with sound, vertical, from one photo; back in 25 seconds. The woman from the photo stands at the head of a long dinner table under a crystal chandelier, holding a small silver cup and smiling at the camera while the packed room behind her cheers and throws its hands up; at the end she lifts the cup in a toast. Her face, curly hair and mustard sweater stay as in the photo. Nothing is written anywhere. The sound is a hip-hop beat and a cheering crowd, with no vocals.
The one who leads the toast
A pour for a friend, then a point at the camera.
MiniMax H3 Max, 10 seconds with sound, vertical, from two photos; our script stopped while it ran and the clip was collected afterwards, within 81 seconds of being sent. Under a ring chandelier in a dark private dining room, the man from the first photo pours from a silver shaker into the glass of the man from the second photo, then laughs and points toward the camera while the friend raises his glass and the table cheers with hands in the air. Both keep their faces, beards and jackets from the photos. Nothing is written anywhere. The sound is a hip-hop beat with a heavy bass and a cheering crowd, with no vocals.
The one who leads the toast
The friend who gets the pour
Why use Cicadas for burning bridges AI video
A burning bridges AI video from your own photos
The first photo is the one who leads the toast and the second is the friend who gets the pour. Leave the second slot empty and the first photo is used again.
A new scene, not a face swap
Most versions of this trend put a face into the original video. This page draws a new room, a new crowd and a new toast from a description, so nobody is edited into someone else's footage and the artist does not appear.
A generated beat, not the song
MiniMax H3 Max makes the sound with the picture: in our two clips, a hip-hop beat with no vocals and a cheering room. The song is not included. At 480P, 5 seconds is 63 credits, 10 seconds is 125 and 15 seconds is 188; at 768P they are 100, 200 and 300.
How to use burning bridges AI video
- 01
Sign in and add one clear, front-facing photo per person: the one who leads the toast, and a friend for the pour.
- 02
Pick a scene (chandelier toast or pour for a friend), choose 5, 10 or 15 seconds, and check the quote.
- 03
Tick the photo confirmation, generate, then download the MP4 from My videos and add your sound when you post.
Burning bridges AI video prompt ideas
Choose a fixed scene above; this page does not accept custom or edited prompts.
“Vertical phone footage in a dim private dining room lit by crystal chandeliers, one continuous shot. The person from Image 1 stands at the head of a long table holding a small silver cup, nods to the beat with a confident grin, gestures at the camera with the cup and then raises it in a toast toward the lens. Friends packed around the table behind them cheer, throw their hands up and cover their mouths in excitement. Keep the face, hair and outfit as in the photo. Warm chandelier light, handheld camera with a gentle wobble. Sound: a slow, heavy hip-hop beat and the room cheering, no vocals. No text, no logos, no brand names.”
“Vertical phone footage at a crowded dinner table in a dim private dining room lit by crystal chandeliers, one continuous shot. The person from Image 1 leans in and pours a drink from a small silver shaker into the cup held by the person from Image 2, then points straight at the camera with a big grin while the person from Image 2 laughs and raises the cup. The friends around the table cheer and throw their hands up. Keep each face, hair and outfit as in its photo. Warm chandelier light, handheld camera with a gentle wobble. Sound: a slow, heavy hip-hop beat and the room cheering, no vocals. No text, no logos, no brand names.”
Burning bridges AI video FAQ
Tested on Cicadas · reviewed 2026-10-14
Recorded on 2026-10-14 with MiniMax H3 Max reference-to-video through fal.ai, each request sent once with the exact scene prompt of this page: 10 seconds, 9:16, 480P with sound, from the site's AI-made sample photos of fictional adults. Chandelier toast (one photo): back in 25 seconds; the woman from the photo stands at the head of a long table under a crystal chandelier holding a small silver cup while the packed room cheers, then raises the cup at the end; she mostly stands still until then, although the prompt asks her to nod and gesture. Pour for a friend (two photos): the probe script stopped while this request ran, and the finished clip was collected from the same request 81 seconds after it was sent, so its wait was not timed; the man from the first photo pours from a silver shaker into his friend's glass, laughs and points toward the camera while the table cheers. Both keep the faces, hair and clothes of their photos. We looked at eleven frames of each clip, three of them at full size, and saw no lettering, no logo and nobody resembling a known person. Sound (two automated listeners, not human listening): a hip-hop beat and a cheering crowd in both, with no speech or singing. Not tested: 5 and 15 seconds, 768P, other rooms, real customers' photos, and prompts that name a person.
- Wikipedia: "Burning Bridges (Drake song)" (read 2026-10-14)
- Media.io: the trend's template page, which describes how it is usually made (read 2026-10-14)
- MiniMax H3 Max reference-to-video on fal — API specification
Updated Oct 14, 2026 · How we test
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