Signal Skyline

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Signal Skyline

About the Project

Genre: AI Animation Music Video
Tools Used: Midjourney, Seedream (Freepik), Vidu, Sora2 (Higgsfield), Kling (Higgsfield), Suno, Filmora

Inspiration

The idea for Signal Skyline began with a simple dream — to create a high school baseball anime that captures the intensity and emotion of youth.
I had rarely seen anyone attempt this theme using AI, which made me want to take on the challenge of bringing the spirit of Japanese baseball to life through AI animation.

Creative Process

The production started with composing the original music in Suno, followed by generating the main character visuals in Midjourney.
Character sheets were designed using Seedream (Freepik), and the animation sequences were created in Sora2 and Vidu.
Editing and visual composition were completed in Filmora.

The project was structured like an actual anime opening, with each cut designed to suggest a deeper story behind the scenes.
I incorporated AI-inspired visual effects to enhance the pitching sequence and synchronized every motion to the rhythm of the music for maximum emotional impact.

Challenges and Learnings

Creating sports motion — especially pitching animation, backgrounds, and realistic composition — remains one of the toughest challenges in AI video production.
To overcome this, I generated multiple short clips in Sora2 and extracted keyframes and ideas to design a feasible storyboard.
The Vidu Extend feature was especially helpful in achieving fluid pitching motion across frames.

Through this process, I learned that even though AI animation still has technical limits, with careful framing and narrative planning, it’s possible to convey a strong emotional story.

Theme

At its heart, Signal Skyline is a story of 青春 (seishun) — the fleeting yet powerful energy of youth that shines brightest under the summer sky of Japanese high school baseball.

$$ Youth + Dreams = Light $$

Built With

• filmora
• freepik
• higgsfield
• kling
• midjourney
• seedream
• sora2
• suno
• vidu