This is a practical, real-world breakdown of the exact process I use
This guide will explain how I create videos where one person seamlessly transforms into multiple characters, using today’s AI tools.
This is not magic, and it’s not one click. Motion control is powerful, but imperfect.. and knowing how to work with its limitations is the key.
The Most Important Concept (Read This First)
Before tools, prompts, or effects, everything depends on your frames.
If your frames are bad, the video will fall apart.If your frames are strong, motion control becomes dramatically easier.
This entire process starts with creating the right images first.
Step 1: Creating Strong Frames (The Foundation)
The best tool I’ve found for frame creation right now is Nano Banana Pro.
This is where you:
- Design the character
- Lock in the face, style, and identity
- Set yourself up for success before motion ever enters the picture
How I think about frame creation
When prompting frames, I’m not thinking “cool image.”I’m thinking:
- Will this face hold together in motion?
- Is the lighting realistic?
- Is the camera angle simple and consistent?
- Does the expression feel natural and neutral?
Calm, confident, well-lit faces perform best in motion control.
Important note
You may generate:
- 10 images
- 20 images
- Sometimes more
…and only one will feel right. That’s normal. Don’t rush this step.
Once you have a frame that feels stable, you move on.
Step 2: Bringing Frames to Life with Motion Control
Once I have a strong image, I take it into Kling 2.6 and use motion control to animate it.
This is where a lot of people get frustrated.. so let me be clear:
Motion control is NOT perfect (yet)
You will likely experience:
- Strange facial expressions
- Slight warping
- Drift
- Outputs that look “almost right”
That doesn’t mean you’re doing it wrong.
This part of the process requires iteration.
You will:
- Prompt
- Generate
- Watch
- Adjust
- Generate again
Sometimes several times until it locks in.
This persistence is part of the workflow.
Step 3: Prompting for Stability (Keeping It Together)
When prompting motion, the goal is not creativity, it’s control.
Your prompts should emphasize:
- Facial stability
- Natural movement
- No exaggeration
Short, clear prompts outperform long, artistic ones in motion control.
The goal is to preserve identity and expression, not invent new ones.
If something looks off, regenerate. Motion models improve output through repetition more than over-prompting.
Step 4: Voice Changes (Optional but Powerful)
If you want to change voices, I handle that separately using ElevenLabs.
Important mindset:
- Video = visuals
- Voice = audio
Keep them modular.
I generate or modify the voice first, then sync it later during editing. This gives you full control without contaminating the visual generation.
Step 5: Stitching Everything Together
Once all clips are generated, everything comes together in the editor.
My primary tool is CapCut.
It’s fast, flexible, and perfect for short-form content.
Another excellent option (especially for advanced transitions) is Adobe After Effects.
This is where you:
- Cut clips tightly
- Add transitions
- Sync audio
- Enhance pacing
- Create the final “wow” moment
The Reality of This Process (Honest Take)
This workflow works, but it’s not a silver bullet
You are:
- Designing frames intentionally
- Working around current AI limitations
- Iterating until it feels right
- Making judgment calls a model can’t make for you
That’s why most people fail and why my videos stand out
Final Thoughts:
If you take one thing away from this guide, it’s this:
Strong frames make motion easy. Weak frames make motion tuff.
Everything else, tools, prompts, voices, transitions, comes second.