Unleash Your Creativity: Create Captivating AI Music Videos

Generating the Song with Suno

1. Go to the Suno web version and enter the desired genre and topic in the prompt box.
2. Suno will generate two song options. Listen to them and select the one you like best.
3. If needed, continue the song by adding more lyrics, such as a guitar solo, and generate additional variations until you have a full song you're satisfied with.

Creating the Music Video Visuals

1. Use Playground AI to generate images for the music video, such as a frog playing a guitar. Experiment with different styles like "neon mecha" to achieve the desired look.
2. Animate the images using Pika Labs. Adjust the prompts and re-roll the animations until you get the best results.
3. For a more realistic approach, use Midjourney to generate images of a vocalist and other elements. Experiment with different prompts and upscale the images.
4. Animate the Midjourney images using HeyGen to create lip-synced singing.
5. Use RunwayML's Gen 2 tool to animate other elements like the guitar player.

Editing the Music Video

1. In your video editing software (e.g., Premiere Pro), address any lip-syncing issues by creatively combining different mouth movement clips.
2. Layer the animated elements and adjust their timing to match the song.
3. Use tools like Ultimate Vocal Remover to extract vocal harmonies from the Suno-generated song.
4. For the final song, use Kaiber to create a dreamlike, psychedelic animation that transforms throughout the track.

Finalizing the Music Video

1. Export the video in high quality, such as 720p.
2. Use a free upscaling tool like CapCut to increase the resolution.
3. Create an album cover using ChatGPT and add the finishing touches.

The key is to experiment with the various AI tools, combine them in creative ways, and iterate until you achieve the desired result. Don't be afraid to try different approaches and learn from the process.

The main tool used across these music video projects is Suno, which generates the music and vocals. Suno is a powerful AI tool that can create songs from scratch based on user prompts.

To use Suno, simply enter a genre and topic in the prompt box, and it will generate two song options in just a few seconds. The songs can be up to 80 seconds long, so I'll play excerpts to demonstrate the process.

For the "Frog Rock" concept, I started with a more experimental generation, but it didn't quite fit the vibe I was going for. I then tried a second option, which had the sound I was looking for.

To further refine the song, I added a request for a guitar solo in the lyrics. While the generated solo didn't quite sound like a guitar, the overall drums and bassline were awesome.

The key is to keep re-rolling and generating different variations until you have a full song you're happy with. Suno makes it easy to continue the song, add more lyrics, and explore different musical directions.

For the music video visuals, I started with Playground AI to generate the initial images. I used the prompt "frog playing a guitar" and selected the "neon mecha" style to get a futuristic look. I generated four options and selected the best ones to use.

Next, I used Pika Labs to animate the images. I uploaded the images and added a basic prompt of "frog playing guitar". Pika Labs has options for aspect ratio, frames per second, and camera controls, as well as negative prompting to refine the results. I re-rolled the animation several times to get the best outcome.

The most challenging part was editing the visuals together. The main issues I faced were lip syncing and getting the full band to look decent in the same frame. For lip syncing, I had to get creative by playing the singer's mouth movements forward and in reverse at varying speeds to sync it up. To solve the band issue, I took an image of the full band and cropped and animated each character separately, then layered them with masks.

After the editing was complete, I exported the video in 720p and used CapCut's free 2x video upscaler to improve the quality.

For the singing performances, I used a combination of two tools - HeyGen and RunwayML.

HeyGen is a paid tool that makes it easy to animate a singing performance. I simply uploaded the image of the singer and the audio, and HeyGen automatically generated the lip-synced animation.

To use HeyGen, I followed these steps:

1. Clicked "Create Video" and selected "Avatar".
2. Uploaded the image of the singer.
3. Uploaded the audio track.
4. Clicked "Submit" and waited for the animation to be generated.

This process was quick and straightforward, and the results looked great.

For the background animations, I used RunwayML's Gen 2 tool. This allowed me to add motion and camera movements to the images I had generated earlier.

The steps I followed were:

1. Selected an image I wanted to animate.
2. Added a simple prompt like "frog playing guitar".
3. Adjusted the motion slider to control the amount of animation.
4. Generated a bunch of variations and picked the best ones.

Some of the animations, like the hand movements, were a bit tricky to get right. But overall, the process was fairly straightforward, and the results were visually interesting.

By combining the singing animations from HeyGen with the background animations from RunwayML, I was able to create a cohesive and engaging music video.

To add a harmony to the music, I used the free and open-source software Ultimate Vocal Remover. Here's how I did it:

1. I isolated the vocals from one of the song generations that I ended up not using.
2. In Ultimate Vocal Remover, I added the song as the input.
3. I selected the "MDX-net" process method and chose the "Kim Vocal 2" model.
4. I left the "Output Instrumental" option unchecked, as I only needed the isolated vocals.
5. I started the processing, which was quick since it was a short clip.
6. This gave me the isolated vocals that I could then layer and blend with the original song to create a harmonized effect.

The result is a more layered and dynamic vocal performance that adds depth and richness to the music. This simple technique allowed me to elevate the AI-generated song in a subtle but impactful way.

To animate the final music video, I'll be using Kaiber, a powerful tool that's great for creating dreamlike and psychedelic visuals. Kaiber is particularly well-suited for working with music, and has been used by big artists like Linkin Park and Kid Cudi.

I'll start by using the "Flip Book" feature in Kaiber, which generates each frame independently, giving it a flickering, psychedelic effect. I have an image of a cybernetic woman that I'll use as the input.

First, I'll add the image and the audio, then move on to the prompt. I'll use "cybernetic woman transforming into cityscape" as the prompt. Kaiber has a variety of curated styles to choose from, and I'll go with "photorealistic" to get the look I'm going for.

Next, I'll adjust the video settings. I want the camera to be zooming in the entire time, so I'll change the camera movement directions periodically to keep it interesting. I'll also max out the audio reactivity, which will sync the visuals to the beat of the music.

After generating the initial preview, I'll add additional scenes to transform the visuals throughout the song. I'll have the robots merge into the cityscape, then transform into the cybernetic woman, and finally swirl into a cybernetic singularity. I'll adjust the camera movement for each new scene to keep the visuals dynamic.

Once I've set up all the scenes, I'll let Kaiber generate the final video, which may take 10-20 minutes due to the length of the song. I'll play the video exactly as it comes out, without any additional editing.

The end result should be a captivating, psychedelic music video that perfectly complements the groovy neo-soul song generated by Suno.

The process of creating the frog cyborg music video using AI tools was a fascinating and creative journey. By leveraging a combination of free AI tools, the creator was able to generate the music, visuals, and animations required for the final product.

The key steps involved:

1. Music Generation: Using Suno, the creator was able to generate the music and vocals for the song, experimenting with different genres and prompts to find the perfect fit.

2. Visual Generation: Playground AI and Midjourney were used to create the images of the frog, singer, and other visual elements, with the creator iterating on the prompts to refine the results.

3. Animation: Pika Labs and RunwayML were employed to animate the generated images, adding movement and life to the visuals.

4. Editing: The final step involved editing the various elements together in Premiere Pro, addressing challenges like lip-syncing and layering the different animated components.

The creator also explored additional tools like HeyGen for facial animation and Kaiber for dreamlike, psychedelic effects, demonstrating the versatility of the available AI-powered options.

The conclusion highlights the impressive capabilities of these AI tools, and the creator's excitement about the potential of these technologies to continue evolving and enabling even more creative possibilities in the future.