I'm going to use the latest advancements in AI technology to create an impressive music video. This time, I'll be leveraging tools like Sudor for generating the song, Midjourney for creating the images, and Luma Dream Machine for turning those images into videos.

The process will involve a few key steps:

1. Generating the Song: I'll use Sudor to create a catchy, upbeat song with lyrics that tell the story of technological progress from the early computers to the rise of generative AI.

2. Generating the Visuals: I'll take the lyrics from the song and use Midjourney to create images that visually represent each line. These images will then be fed into Luma Dream Machine to generate short video clips.

3. Editing it All Together: Finally, I'll use DaVinci Resolve to edit the song and video clips together, timing the scene changes to the beat of the music. This will create a fast-paced, visually engaging music video that showcases the power of AI-powered creativity.

Unlike my previous attempt, I'm confident that the end result will be a much more polished and professional-looking music video. The advancements in AI tools over the past 9 months have been remarkable, and I'm excited to push the boundaries of what's possible.

Let's get started and see what we can create!

When it comes to generating music with AI, two popular options are Mubert and Sonm. Both platforms offer unique features and capabilities, so it's important to understand the differences to choose the one that best fits your needs.

Mubert

Mubert is an AI-powered music generation platform that creates unique, royalty-free music on-demand. It uses advanced algorithms to generate endless variations of music in various genres, styles, and moods. Mubert's strength lies in its ability to produce high-quality, seamless music that can be used for a wide range of applications, such as background music for videos, podcasts, or ambient soundscapes.

Sonm

Sonm, on the other hand, is a more advanced AI music generation tool that allows for greater customization and control over the output. It offers a wide range of parameters, such as tempo, key, and instrumentation, that you can adjust to create the exact sound you're looking for. Sonm also has the ability to generate lyrics and melodies, making it a more comprehensive solution for those who want to create complete musical compositions.

Comparison

When it comes to ease of use, Mubert may have a slight advantage, as its interface is more straightforward and intuitive. Sonm, however, offers more advanced features and customization options, which may be more appealing to users who want more control over the creative process.

In terms of output quality, both Mubert and Sonm are capable of generating high-quality, professional-sounding music. However, Sonm may have a slight edge in terms of the realism and complexity of its generated compositions.

Ultimately, the choice between Mubert and Sonm will depend on your specific needs and preferences. If you're looking for a simple, hassle-free way to generate background music, Mubert may be the better option. If you're more interested in creating custom, fully-fledged musical compositions, Sonm may be the more suitable choice.

When it comes to generating visuals for the music video, the creator explored two popular AI image generation models - Mid Journey and Leonardo. Here's a summary of their findings:

Mid Journey:

• The creator found Mid Journey to be slightly better at producing more realistic images compared to Leonardo.
• Some of the Mid Journey generated images had issues like distorted body parts or unnatural poses, but the creator was still able to find usable images.
• The creator used Mid Journey to generate images based directly on the song lyrics, which worked well to create visuals matching the content of the song.

Leonardo:

• The creator noted that if they were going for a more cartoonish or illustrated style, they would likely have chosen Leonardo over Mid Journey.
• Leonardo was a viable free alternative to Mid Journey for generating images to use in the video.

Overall, the creator was able to successfully leverage both Mid Journey and Leonardo to produce a variety of images that were then used as the visual foundation for the music video. The ability to generate custom visuals using these AI models was a key part of the video creation process.

I finally finished pulling it all together. If I sort of zoom out on my timeline, you can see I've got my cuts here - my cuts are about every 1 second. And then in certain areas where the pace of the song slows down, I actually do my cuts every two seconds instead of every 1 second.

The video itself is pretty fast-paced - it's changing scenes every single second. But I think it works really well with the pace of the song. One thing I did while cutting it together was I had this intro that I started to use with everybody dancing. Since a lot of this other video footage just feels so random (we've got like old computer screens and then like Matrix style binary going on the screen, people at computers, stuff that's supposed to represent data waves, and it's all kind of jumping around randomly), I decided to add these like dance clips in every 20 to 30 seconds just to kind of give it this cohesiveness and tie it all back together.

You can see a whole bunch of chops here - this was me just trying to chop at every second so that it was easy for me to snap my clips to the exact perfect time marker. But then I got lazy and stopped doing it after that for a little bit.

And then at the end, what I did is this song was actually over 3 minutes, but after about a minute and a half, the song just kind of repeats itself. So I did a fade out on the audio at the end, and then I started to tie these dance clips back in at the end to sort of bookend it with the same way that it started, but I bring those back in every second.

When you see the video, you'll see that it sort of moves to the beat of the song as they're dancing. And then the video finally wraps up. This final shot was one of my favorite shots that Luma generated for me, where there's this girl looking at a screen with flowers, and then she kind of turns her head towards the camera at the end. And then I end the video with her sort of looking to the side - I just thought that was a cool way to end the video.

And that's it - that's the whole video. I simply rendered the video out, and now here's the world premiere of the song I've settled on, titled "Binary Dreams".

When it comes to editing a music video together, the trick to getting it to look really good is to edit to the beats. If I zoom in on the timeline, we can see where the beats are - each spike represents a base hit.

To time the video clips to the beat, I'll want to make sure the cuts happen right on those beat markers. For example, with this dancing clip, I can adjust the speed so the jumps align perfectly with the beats.

I'll go through and find relevant video clips for the lyrics, cutting them to the beat. For the intro lyrics about "the first machine" and "binary dreams", I'll use clips of retro computers and binary code visuals, cutting each one to the beat.

As the song progresses, I'll continue this pattern - finding appropriate visuals for the lyrics and timing the cuts to the music. In sections where the pace of the song slows down, I'll do cuts every 2 seconds instead of every 1 second to match the slower tempo.

I also interspersed some of the dancing clips throughout to provide a sense of cohesion and tie the whole video together. The final result is a fast-paced, beat-synced music video that visually matches the energy of the song.

The final music video showcases the impressive capabilities of AI in creating high-quality content. By leveraging various AI tools, the creator was able to generate an entire song, lyrics, and visuals that seamlessly blend together.

The use of Sunno for the music generation, Midjourney for the image creation, and Luma Dream Machine for the video synthesis demonstrates the power of AI in automating the creative process. The attention to detail in editing the video to the beat of the song further enhances the overall experience.

While some tools require paid subscriptions, the creator highlights the availability of free alternatives, making this approach accessible to a wider audience. The video serves as a testament to the rapid advancements in AI technology and its potential to revolutionize the way we create and consume content.

As the creator mentions, this is just the beginning, and we can expect even more impressive AI-powered tools and techniques to emerge in the near future. The exploration and experimentation with these technologies will undoubtedly continue to push the boundaries of what is possible in the realm of music and video production.