THIS AI KUNG FU MASTER HAS ALREADY EARNED $7,657 IN JUST TWO WEEKS. HE H

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THIS AI KUNG FU MASTER HAS ALREADY EARNED $7,657 IN JUST TWO WEEKS. HE HAS 34,600 FOLLOWERS AND HE DOESN'T EVEN EXIST.

YOU CAN START MAKING MONEY FROM THIS RIGHT NOW, JUST LIKE HIM.

here’s how to build your own character and make videos like this ↓

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meet Sean Dynasty Prosper.

26 posts. 34.6K followers. an AI-generated profile built around a “30th Generation Wing Chun Master.”

dramatic curved hair. dark clothing. bright white cuffs.

in this clip, the characters take turns approaching the camera before performing together.

one recognisable cast gives the creator a whole series of situations to test.

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1 → CREATE YOUR CHARACTER

use ChatGPT image generation or Higgsfield’s image tools to design an original character.

give them distinctive features that stay readable during movement: hairstyle, silhouette, outfit and facial expression.

save:

→ a clear facial close-up
→ a full-body image
→ front, three-quarter and side views
→ consistent clothing and hair

keep the reference sheet for future scenes. for animation, prepare a clean individual image of the character in the setting you want.
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2 → PREPARE A MOVEMENT REFERENCE
record a short dance or playful martial-arts sequence, or use footage you have permission to work with.

start with one person whose hands and feet remain visible.

choose a short action with a clear beginning and ending. you’ll be able to inspect the result and retry without regenerating a long performance.

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3 → PICK YOUR VIDEO WORKFLOW

Kling Motion Control → animate your character using a performance reference

upload your character image and the movement video.

the reference video guides the actions. facial Element Binding can help preserve the character’s identity through movement and head turns.

Kling’s guide supports one bound character, so begin with solo shots before attempting a whole crew.

Higgsfield Genjutsu → transform existing footage

choose Motion Transfer to apply a reference performance to a new character or scene.

choose Object Swap to replace selected elements while retaining the rest of the shot.

use the workflow that matches your goal: rebuilding the scene around a movement, or changing part of existing footage.

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4 → ASSEMBLE THE VIDEO IN CAPCUT

pick the strongest takes.

start with the action. remove empty pauses. add suitable audio. export vertically.

for the first test, give each character a separate shot. once those work, try bringing them together.

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5 → CHECK THE DETAILS

watch the result closely:

→ does the face change during turns?
→ do the hair and clothes stay consistent?
→ do hands distort or disappear?
→ do feet slide across the ground?
→ do characters merge when they overlap?

regenerate weak shots. trimming helps, but it won’t fix every visual error.

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THE STARTER SETUP

character references → ChatGPT or Higgsfield
movement transfer → Kling Motion Control
footage transformation → Higgsfield Genjutsu
final edit → CapCut
choose one video workflow first. you don’t need subscriptions to every service to begin testing.
start with one character and one short performance. build the crew once the first result holds up.