Dev trivia

From Novice to Music Clip Creator: Unleashing Your Creativity with AI in Just a Weekend

Last weekend brought several days off and, with rain pouring for two days straight, I found myself indoors-an ideal opportunity to play with creativity and explore the world of AI-powered music video creation.

Why AI Is a Game-Changer for Creatives

Using AI in coding or project management is like using a harvester instead of harvesting crops by hand. Anyone who’s tried both knows: if you understand what you want to build, know the rules, and are aware of common pitfalls, AI can boost your productivity tenfold or more. But just like with a harvester, if you don’t know how to use the tool, you might end up causing more problems than you solve-destroying a field instead of harvesting it.

The same principle applies to creative work. With the right approach, AI tools can amplify your imagination, streamline your workflow, and help you bring ideas to life faster than ever before.

Step-by-Step: My AI Music Clip Creation Workflow

1. Story Creation with AI Writers

I started by writing a short story, sketching out the main idea and characters. Then, I turned to Claude 3.7 Sonnet, an advanced AI model, to flesh out the narrative. After reviewing the first draft, I provided feedback and asked for extensions and modifications until the story matched my vision.

2. Visual Concepting with AI Image Generators

Once the story was ready, I asked Claude to suggest three images that could illustrate the plot. Next, I used ChatGPT and Google Gemini to draft illustration prompts. While these models can struggle with keeping characters consistent-especially when you have four different animals, including an anteater-they’re great for rapid prototyping and brainstorming visual ideas.

3. Consistent Scene Generation with Whisk

When I was satisfied with the drafts, I used Whisk, Google’s new AI image tool, to generate scenes in a specific style, ensuring that the characters remained consistent throughout the visuals. Whisk’s ability to remix images using both text and visual prompts made it easy to iterate and refine the look of my story.

In some cases, AI generated more characters than I needed-processing the image with a language model sometimes introduced unexpected changes, so the easiest solution was to use AI object removal tools in Picsart or Canva to quickly erase any extra characters and achieve the desired result.

4. Scenario for Animation

When creating an animation scenario from an image, I use Perplexity to help transform visual details into a dynamic sequence of actions and camera movements. By analyzing the image and describing its elements, Perplexity assists me in developing a narrative flow and suggesting how characters and objects can interact within the scene. This approach streamlines the process, turning a static image into a detailed scenario ready for animation. Using Perplexity not only saves time but also enhances creativity by offering fresh perspectives and ideas.

5. Animation with Kling and RunwayML

The next step was animating the images. Kling AI allowed me to turn static illustrations into dynamic scenes with just a few clicks-no animation experience required. RunwayML offers similar features, but Kling seemed to better understand my prompts and was more cost-effective for this project.

6. Music Generation with Suno

For the soundtrack, I used Suno, a free AI music generator for non-commercial use. I generated eight different music tracks in various styles, listened to each, and picked the one that best fit the mood of my story.

7. Video Editing with iMovie

With visuals and music ready, I combined them using traditional video editing software (iMovie). This step remains mostly manual, but the creative assets were all AI-generated.

8. Subtitles with Whisper and Translation with Perplexity

To make the video accessible, I generated Polish subtitles using OpenAI’s Whisper, which provides high-quality, accurate speech recognition in dozens of languages. For English and Spanish versions, I asked Perplexity to translate the subtitles, taking into account music style, rhythm, and rhyme for natural-sounding results.

What Did I Learn? Can This Be Automated?

This experiment showed me that anyone-regardless of artistic background-can become a music clip creator with today’s AI tools. The process is playful, iterative, and surprisingly fast. While some tasks still require manual tweaks, the bulk of creative work can be accelerated with AI. In the future, it’s easy to imagine an “AI agent” handling quality control, offering enhancement suggestions, and maybe even generating new ideas on its own.

“The real power comes from the combination of human creative vision and AI execution. Creative Directors can focus on high-level strategy and breakthrough ideas, while their AI teammates handle the execution details that often bog down creative processes.”

How You Can Start Your Own AI Music Clip Project

  • Write your story: Use AI writers like Claude or ChatGPT for drafts and revisions.
  • Visualize your ideas: Use Gemini or similar tools to brainstorm and draft images.
  • Generate consistent scenes: Try Whisk or other image-based prompt tools for visual style and consistency.
  • Removing objects: Use Picsart or Canva
  • Scenario for Animation: Use Chat AI, Perplexity, ChatGPT or Gemini
  • Animate: Use Kling, RunwayML, or Krikey AI to bring images to life-no animation skills required
  • Add music: Use Suno or another AI music generator to create custom soundtracks
  • Edit and combine: Use any video editor to assemble your music clip.
  • Subtitle and translate: Use Whisper for subtitles and AI translators for multilingual versions.

Final Thoughts

AI is not a replacement for creativity-it’s a catalyst. With the right tools and a willingness to experiment, anyone can become a music clip creator. Maybe one day, AI agents will handle everything from idea generation to quality control. Until then, the field is wide open for creative explorers. Why not start your own project the next rainy weekend?