Creating a FULL Music Video using ONLY AI

AI is being used to build a complete, end-to-end music video—music generation, storyboarding, shot creation, and assembly—using tools that lower the technical barrier for creators. The project centers on a melancholic alternative-rock track titled “Questions from the Future,” written to match the theme of how people feel disconnected from the AI-driven future. The music is generated in segments, then stitched into a final song through multiple iterations, while the visual narrative is planned and produced inside an AI storytelling workspace designed for editing on the fly.

For the audio, the creator relies on Udio to generate roughly 30 seconds at a time, then extends the track repeatedly until a finished version emerges after about eight extensions. The resulting song blends melancholy and melodic alternative-rock tones, with lyrics that frame AI as both a “future seen in digital dreams” and a source of estrangement—people drifting through “binary code,” “screens,” and “faceless names,” searching for “a simple touch” and warmth beyond the digital interface.

The video production uses LTX Studio, positioned as an AI-focused storytelling platform with a user interface that supports planning and storyboarding. Instead of treating visuals as a one-off generation task, the workflow starts with a rough outline via the prompt bar, which then sparks more detailed creative decisions. The project’s visual concept begins with a robotic character to align with the song’s AI theme, but LTX Studio’s robot consistency is described as limited. To address that, the creator generates robot imagery using an image tool (Idiomogram AI) and uploads the character into LTX Studio to animate it.

Inside LTX Studio’s shot editor, camera motion options and a motion scale slider help control how much movement appears in each scene. Clips can be generated up to 12 seconds, and the creator uses the full length for flexibility. Storyboard organization is handled by grouping frames into scenes based on location, lighting, and weather; changing any of those factors triggers a new scene, keeping the timeline structured. Midway through the video, the project switches to a second character named Aiden, maintained through LTX Studio’s cast settings so prompts consistently render the same humanoid figure across the second half.

A key practical advantage highlighted is seed-based previewing: before committing to a full generation, the platform offers previews of different seeds to judge motion quality and reduce wasted iterations. The creator still runs into limitations because LTX Studio is in beta—most notably the absence of a trim tool for precise shot timing—so final assembly and cut timing are handled in a separate video editor. Even so, LTX Studio supports exporting the timeline to XML for handoff.

Overall, the workflow is presented as proof that a creator can produce a cohesive music video without traditional production skills, while also showing where current AI tools still fall short—especially with consistent character rendering and fine-grained editing controls.