THE BULIN 47 BLOG · TREND EXPLAINED
What’s the Bulin 47 AI Trend?
The joke lands before you’ve figured out the software: someone you recognize is suddenly doing that freestyle beside the speaker. The Bulin 47 AI trend turns a recognizable performance into a repeatable setup, with a different person taking the lead in each version.
THE SHORT ANSWER
The trend uses AI to change the lead performer in a remix of Bulin 47 and Kevin Wai’s street freestyle. Some edits replace a face; others rebuild more of the person or create a new scene inspired by the original. The results don’t all come from one app.
One scene, a different lead performer
MARCA describes the wave of AI replacements that followed the original encounter. The key to recognizing the format is the relationship between the new performer and the familiar setting: the shoulder motion, nearby speaker, other people and sound give you points of comparison.
A good way to watch a remix is to ask two questions: what changed, and what stayed recognizable? The answer may be more than a face. Hair, clothing, body shape or the background might also differ. Those choices affect whether the result feels like a recast performance or a new scene.
The same trend name can describe different workflows
- Face replacement: the edit focuses on changing who the face resembles while much of the source picture remains recognizable.
- Reference-guided generation: a character photo defines the new look, while a video reference guides movement and framing.
- A scene inspired by the trend: a prompt describes the situation, without necessarily recreating the original sequence of gestures.
These are useful distinctions when comparing tools, not a way to identify an app from a finished clip alone. Media.io’s reference-video guide illustrates the second approach. A tutorial for one workflow doesn’t prove that every post using the trend’s name was made that way.
Why a reference matters more than a long prompt
A text description can ask for a shoulder bounce and an energetic freestyle. It doesn’t specify every pause, hand position or camera change. A reference clip supplies those details, which is why a prepared template can be a more direct starting point when your goal is a recognizable version of this particular performance.
References still don’t guarantee a perfect copy. Watch for hands changing shape, clothing shifting between frames or a face drifting after a turn. The words in a prompt describe the target; the finished video is what tells you whether the tool reached it.
What this site’s version includes
Our generator uses one photo of one person and a built-in performance template. You select Original or World Cup, then 480p or 720p. Original follows the reference setting; World Cup changes the background crowd to fictional soccer players. There is no custom prompt field in this workflow.
The completed output is a 19-second vertical MP4, with an original-audio download and a separate silent copy. Generation is paid, and the results can vary. Our step-by-step creation guide explains how to prepare your photo and start a video.
Keep the context when you share it
Use your own photo or get the person’s permission. Describe the result as an AI edit so viewers don’t mistake it for an actual appearance, performance or endorsement. This is especially helpful when the clip travels beyond the friends who already understand the joke.
Review picture and sound together before posting. A familiar soundtrack can make an imperfect visual feel convincing, but it cannot fix the person’s mouth movement. If the beat seems right and the words look wrong, those are separate problems. Our guide to keeping the original audio explains how to check the sound you’re actually sharing.
Sources & editorial notes
Written by the team behind Bulin 47 AI Video. We explain the wider trend and identify which features are available on our site. We’re an independent tool, with no affiliation with Bulin 47 or Kevin Wai.
Details checked on October 12, 2026. Other tools may change their features, trial credits and pricing.