How to Make AI Music Videos From Suno AI Songs (AI Lyric Video Tutorial)
Demonstrates a low‑cost, end‑to‑end AI workflow that lets independent creators produce professional lyric videos without traditional post‑production teams.
What this lesson covers
Dan shows how to turn a Suno AI‑generated song into a full lyric video using the Open Art music video builder. He walks through prompt creation, model selection, storyboard preview, and timeline assembly to produce a polished AI video.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:31 ↗
The entire music and visual content can be generated with AI, eliminating traditional production costs.
- 2:15 ↗
Selecting aspect ratio and style presets (e.g., 16x9, bubble pack) defines the video’s look early on.
- 2:34 ↗
Choosing specific image and video models—Cream 4.0 for images and Cling 2.5/2.6 for video—optimizes output quality.
- 3:04 ↗
Using the storyboard preview catches lyric‑image mismatches before spending credits on full renders.
- 5:07 ↗
The timeline editor lets you arrange individual scenes, tweak lengths, and export the final lyric video.
Workflow outlined in the video
- Generate a song and lyrics in Suno AI using a style prompt.
- Copy the audio link into Open Art’s music video builder.
- Pick an aspect ratio, style preset, and set Cream 4.0 as the image model and Cling 2.5 (or 2.6) as the video model.
- Run a storyboard preview, edit any mismatched lyrics or images, and retry the affected frames.
- Assemble the approved images in the timeline, adjust timing, and export the completed lyric video.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
92,521 views captured 23 October 2026. ReelStack recommendation score: 34/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 1.10× views vs 5 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 2/100; likes + 4× comments, smoothed with a 500-view neutral prior