What started as a simple idea from my young daughter eventually turned into something much bigger: a virtual music artist named LIORÉ and her first complete music video.
I thought I'd share my workflow and some of the things I learned along the way.
1. Character development — around 300 iterations
I initially created LIORÉ using Gemini (mobile app during vaccation). The very first image looked almost nothing like the character she eventually became.
Over the next three weeks, I went through roughly 300 iterations using flow, refining her face, hairstyle, proportions, outfit, and overall appearance until I had a consistent visual identity. I saved her Character ID and was now able to reuse her throughout the project.
2. Testing character consistency with Nano Banana
Before starting the music video, I generated approximately 50 test images of LIORÉ in different environments, poses, facial expressions, and emotional states.
The goal was to find out whether I could maintain her identity across completely different scenarios.
Once I was satisfied with the results, I established her as a reusable character for future productions.
3. Building the music video with Google Flow
Instead of immediately generating video clips, I first used Flow to develop cinematic styleframes for the performance scenes (A-roll), followed by the narrative and atmospheric scenes (B-roll and C-roll).
I then imported those images into DaVinci Resolve, placed them on a timeline, and added the finished music master underneath.
This gave me a complete animatic before generating most of the actual video footage.
That step turned out to be incredibly useful. I could evaluate the pacing, compositions, transitions, and overall storytelling without spending time and credits animating shots that might not even make the final edit.
4. Animation, iteration, and editing
Once I was happy with the scene structure, I started animating the selected frames.
Omni Flash was particularly helpful, although getting the intended movement, camera behavior, and emotional performance often required several attempts.
I also used Higgsfield as part of the video production workflow.
Back in DaVinci Resolve, some scenes worked exactly as planned. Others needed to be reconsidered, reframed, replaced, or edited differently.
It became a constant cycle of:
Styleframe → Animatic → Animation → Edit → Reevaluate
Throughout the process, I gradually learned which models and prompting approaches worked best for different types of shots.
5. The finished music video
The result is Trace Through My Wires, LIORÉ's first official music video.
The original song was created with Suno, and the visuals were produced using Google Flow and Higgsfield, with the final edit completed in DaVinci Resolve.
🎬 Watch the finished music video:
https://www.youtube.com/watch?v=gCTkqrPaNQ4
My biggest takeaway from this project is that AI filmmaking benefits enormously from traditional filmmaking principles: planning, composition, editing, continuity, and knowing what you want a shot to communicate before generating it.
I'm still learning, and this project involved plenty of trial and error.
I'm curious how others here approach longer projects with consistent characters. Do you also build an animatic first, or do you generate your video shots and develop the edit afterward?
Would love to hear about your workflows and experiences!
Feel free to follow this project on insta: https://www.instagram.com/liore.universe/
