Unified AI Avatar and Media Production Pipeline — Case study

The challenge

Where it started.

Communicating complex AI agent products through entertainment media meant live-action music videos costing $30,000 to $150,000 over six to ten weeks, while a fragmented toolchain and rising compute costs made consistent characters and music-video-tempo lip-sync near impossible.

What we built

The system.

We built a unified AI media-production platform that keeps characters visually consistent using per-character LoRAs and fine-tuned diffusion models. It handles voice cloning and singing via ElevenLabs and Suno, high-fidelity lip-sync via MuseTalk and Wav2Lip, and motion and cinematic compositing through ComfyUI, Runway Gen-3, Kling and Veo. Agent-driven storyboarding, brand-safety QA automation, cost optimisation and a production CMS deliver versioned, multi-format output.

Inside the build

A look at the system.

Render pipeline · SmythOSRendering

01

Character · LoRA locked

Consistent face across every scene

Done

02

Voice cloned · ElevenLabs

Singing + dialogue track

Done

03

Lip-sync · MuseTalk

Music-video tempo

Rendering

04

Composite · Runway Gen-3

Cinematic grade + CMS export

Queued

Brand-safe QA on every frame

The results

What changed.

Replaces six-to-ten-week live-action shoots with an automated production pipeline
Maintains consistent recurring characters across multiple videos
Consolidates a fragmented toolchain into one managed platform with built-in cost controls

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