Blog Updates and New Initiatives

This year, the blog expanded in exciting directions. A few highlights include:

• AI Timeline Page: I created a dedicated timeline to track the progression of AI milestones. This page serves as a historical reference and showcases the rapid evolution of generative AI.
• AI Art Gallery Series: 2024 marked the launch of the AI Art Gallery series. These posts celebrate the creativity unlocked through generative AI tools, featuring thematic artwork crafted by various platforms.
• GenAI Power Consumption: A recurring theme this year has been the environmental impact of AI. I wrote an article about the importance of the energy demand of generative AI.

Breakthroughs in AI Text Generation

Generative AI continued to dominate headlines with significant updates from major players:

• GPT-4o by OpenAI: OpenAI introduced GPT-4o, an optimized and more efficient version of its large language model, improving performance without compromising quality.
• OpenAI o1: This release focused on better reasoning, solving more complex tasks and problems, but “thinks” more, than the lightweight models. Read my article about o1.
• Google Gemini: Google’s new model, Gemini, combined cutting-edge text and image processing capabilities, setting a new benchmark for AI integration.
• Claude 3.5: Anthropic’s Claude 3.5 Sonnet brought enhancements in conversational AI, it has deep analytical capabilities, coding skills, creative writing and so on.

Advancements in AI Image Generation

This year also saw transformative updates in AI-powered imagery:

• Flux AI: A new player on the scene, Flux AI, introduced dynamic and realistic image-generation capabilities, drawing attention with its unique rendering styles.
• Fooocus AI: Fooocus AI emphasized precision and control, offering users the ability to refine outputs like never before.
• Stable Diffusion 3.5: The release of Stable Diffusion 3.5 continued to push boundaries, with improved image clarity, speed, and customization options.
• Playground AI’s Shift: Playground AI redefined its approach, transitioning from pure creation to a design-focused model. This pivot reflected broader trends in how AI tools are evolving to meet user needs.

The Rise of AI Video Tools

The generative video space made waves with notable launches:

• OpenAI’s Sora: This innovative video tool expanded content creation possibilities. With support in various countries (check the list here), Sora is democratizing video generation.
• Other Generators: Several other platforms also emerged, for example Runway or the Flux AI Video Generator.

Innovations in AI Music

Music creation saw significant strides, making generative AI an indispensable tool for musicians and producers:

• Suno Updates: The platform introduced a range of new features, culminating in the release of Suno v4, a groundbreaking update that expanded creative possibilities for music generation.
• Udio’s Evolution: Udio added several new features, focusing on enhancing user experience and output quality.

Looking Ahead to 2025

As we move into 2025, the possibilities seem boundless. Here’s what I’m keeping an eye on:

• Sustainability in AI: Expect more emphasis on eco-friendly AI development, as power consumption remains a hot topic.
• Integration and Accessibility: The trend towards lightweight, integrated AI tools will likely continue, breaking down barriers to adoption.
• Creative Frontiers: The convergence of AI with art, music, and video will further blur the lines between human and machine creativity.

2024 has been a remarkable year. The generative AI trends showed in 2024 that many new innovations was born. I’m curious to see what 2025 has in store. Thank you for following along on this journey. Let’s continue exploring, questioning, and celebrating the incredible advancements of genAI!

I wish you a Happy and Creative New Year!

The post Generative AI Trends in 2024 appeared first on AI Art Blog.

The main new features are:

• remastering songs created with older models to v4 quality
• better audio quality
• better lyrics
• updated cover art generator

v4 beta is currently available for Pro and Premier users.

I would like to write some words from the updates made by Team Suno earlier.
In the last months they was very productive and implemented some cool features like:

• Covers: It enables to record yourself as singing or humming and transform this sound to a full song, which preserves your melody.
• Replace section: The name is pretty straightforward: you can select a part of your song and replace it with different audio. You can even modify the lyrics of the section!
  Available for Pro and Premier Suno users only.
  
• Scenes: You can upload a picture or video and Suno generates music based on this media!
• Personas: Create songs from other song with similar style and voice. This feature is currently in beta stage. Available for Pro and Premier Suno users.

If you would like to hear how to use Suno just check my generating full song with Suno article.

Althrough Suno v4 is here for the subscribers, some of the v3 features are free to use.

The post Suno v4 is here – What is new? appeared first on AI Art Blog.

This short video shows how amazingly realistic works of art can be created today with the help of some artificial intelligence tools.
You can watch the video at the end of the article.

Fukoe used the following tools to create the music video:

• ChatGPT for lyrics
• Suno to the music
• DreamMachine, Gen3 alpha and Kling for video production
• Midjourney and Stable diffusion for images

The created content was edited with Adobe Photoshop and After Effects software in the post production process. This is the only part of the workflow where artificial intelligence solutions were not required.

The end result is a convincing, photorealistic and at the same time surreal work.

In conclusion, Arata Fukoe’s music video “AI Evolution” is a significant achievement in the field of AI-generated art. Using advanced generative artificial intelligence tools, Fukoe created a music video that pushes the boundaries of traditional artistic expression. As artificial intelligence technology continues to evolve, it is likely to play an increasingly significant role in shaping the future of creative creation.

The post AI music video that was made almost entirely with generative AI appeared first on AI Art Blog.

Metatags in Suno are special instructions embedded within song lyrics, enclosed in square brackets, to help customize musical elements such as instruments, voices, and song sections. They allow for precise control over the generated music, aligning it with your creative vision.

Read more about the v4 model of Suno and it’s new features.

Basic Guidelines

1. Keep It Simple: Use a maximum of three words per tag for clarity.
   • Good Example: [Syncopated Bass]
   • Bad Example: [call and response between percussion and bass]
2. Tagging Sections: Pair a brief style description with a noun indicating the instrument or voice.
   • Example: [Soft String]

Types of Metatags

1. Song Structure Tags: Define parts of the song.
2. Instrumental Tags: Specify instruments to be used in certain sections like [Syncopated Bass], [Fingerstyle Guitar Solo], [Build].
3. Voice Tags: Indicate the type of vocal performance or effects desired. Some metatag examples for vocals style: [Gospel Choir], [Primal Scream], [Rap Verse]

Song Structure Metatags

Verses and Choruses

Verses and choruses form the backbone of most songs. Use these tags to specify their presence:

• Verse: [Verse] or more specific like [Verse 1]
• Chorus: [Chorus]

Pre-Chorus and Bridge

Pre-choruses build up to the chorus, and bridges offer a contrast to the main lyrics:

• Pre-Chorus: [Pre-Chorus]
• Bridge: [Bridge]

Additional Structure Tags

1. Intro: Short instrumental start.
   • Example: [Short Instrumental Intro]
2. Hook: Repetitive catchy phrases.
   • Example: [Catchy Hook]
3. Break: Instrumental pauses.
   • Example: [Percussion Break]
4. Interlude: Instrumental sections.
   • Example: [Melodic Interlude]
5. Outro: Ending sections.
   • Example: [Outro], [Big Finish]
6. End: Explicitly mark the end of a song.
   • Example: [End], [Fade to End]

Best Practices

• Precision: Avoid overly complex tags to prevent misinterpretation.
• Genre Appropriateness: Some tags work better in specific genres, so tailor them to the music style you’re aiming for.

Conclusion

Suno Metatags enhance the specificity and quality of the music generated by Suno AI. By following the guidelines for simplicity and relevance, you can effectively shape your songs to match your creative ideas.

Feel free to experiment with these metatags to make better and more custom songs!

For detailed information on metatags and their uses, refer to the official Suno Metatags FAQ.

The post Generate AI Music with Suno Metatags appeared first on AI Art Blog.

New features of the v3.5 model

• Generating 4-minute tracks: you only have to click the Create button once and after a few moments the entire full song track is ready
• we can extend the music by up to 2 minutes
• improved music structure and vocal flow (this means that the music generation has been improved, so more relevant content is created for the prompt, metatags are taken into account better and the vocal will be more accurate and of better quality)
• download songs in .wav format (only for Pro and Premium subscribers)

Of course, it is possible to use one of the older models before starting the music generation.

How to create your full-length (up to 4 minutes) AI music?

The steps for generating music have not changed compared to before:

1. Open the Suno website and log in to your account. If you don’t have access yet, sign up by clicking on the Sign Up link in the bottom left corner of the home page.
2. You can also log in with a Discord, Google or Microsoft account.
3. Click the Create button from the menu (top left).
4. Enter the prompt of the song or use the randomly generated prompt.
5. Check if the v3.5 model is selected
6. If you don’t want lyrics for the music, activate the Instrumental setting
7. Click the Create button
8. You can find the download button by clicking the ellipsis button next to the number

So based on the steps above, you can also create your own songs.

Testing Suno v3.5

I generated 4 full songs with this AI music generator:

Country rock Electronic Dance Music
Prompt: country rock EDM
From the Lyrics: “Lost in the beat, never found my way home.”

African tribal music
Prompt: Traditional 120bpm african tribal music with relatively strong drums and this instruments: kora, djembe, balafon, shaker. Transition to silence at the end.

Chill-out lounge music (Instrumental)
Prompt: chill out lounge background music for cafe bar

Epic instrumental music
Prompt: battle of dragons full epic song with dramatic mood, strong instruments, strings, medium drums, dramatic melody, female choir at the cathartic points, transition to silence at the end

Summary

Suno’s v3.5 model made it even easier to generate music. Thanks to the new developments, we can generate up to a 4-minute full song with Suno just by entering the appropriate prompt and hitting the Create button.

The generated track will not always be exactly 4 minutes long of course. The exact length depends on the musical style, the tempo of the music and the lyrics.

Read the Generate AI Music with Suno Metatags article, to learn how to fine-tune your songs with meta tags.

It is said that Suno is already working on the v4 model, which will put a lot of emphasis on high-quality vocals and, according to the promise, will generate even more appropriate music for the prompt.

The post Create full song with Suno – New features in the AI music generator appeared first on AI Art Blog.

In recent months, the music industry has witnessed a rapid evolution driven by advancements in artificial intelligence (AI). Among the groundbreaking innovations are AI music generation tools like Suno and Udio. These tools have revolutionized music production, inspiring artists and composers worldwide. In this article, we’ll explore the capabilities of these tools, provide a basic step-by-step tutorial, and discuss their impact on music creation.

The Fast Development of AI Music Tools

Suno V3 and Udio represent the cutting edge of AI-driven music composition. Their algorithms analyze vast amounts of existing music, learn patterns, and generate original compositions. Unlike traditional music software, which relies on human input, these tools autonomously create melodies, harmonies, rhythms and even vocals from simple prompts. Let’s dive into how you can use them to create your own music.

Step-by-Step Tutorial: Creating Music with Suno V3 and Udio

1. Choose Your Style:
   • Both Suno and Udio recognizes various music styles, from classical to electronic. 
   • Find out what style of song you want to generate and write it in the prompt. 
   • Both music generators will suggest a random prompt, like: a song about a reunion of childhood friends, jazz
2. Input Parameters:
   • Specify parameters like tempo (for example 130BPM), mood (melancolic, happy, uplifting), and instrumentation in the prompt.
   • Suno and Udio will generate a melody and even vocals based on your input. 
   • Suno creates music of about 50 seconds, Udio about 30 seconds, which can be extended later.
3. Review and Edit:
   • Listen to the two versions of the generated music and decide which sounds better.
   • Generate other versions with the same prompt or extend your favorite songs.
4. Export Your Composition:
   • Once satisfied, export your composition as an .mp3 file.
   • For further fine tuning edit the music in an AI-based digital audio workstation (DAW) like RipX DAW.

Enhancing Music Production

• Inspiration: AI tools like Suno and Udio spark creativity. They offer fresh ideas and unexpected chord progressions, pushing artists beyond their comfort zones. Suno has a great function: Explore. Use it to experiment with various genres.
• Time Efficiency: Instead of spending hours composing, artists can use AI-generated material as a starting point, saving time and energy.
• Collaboration: AI tools facilitate collaboration between musicians. Imagine a guitarist collaborating with an AI-generated orchestral arrangement!

Legal Usage and Possible Drawbacks

While AI music tools are exciting, they raise legal and ethical questions:

1. Copyright and Ownership:
   • Who owns the rights to AI-generated music? The artist, the AI, or both?
   • Legally, it’s uncharted territory. Open questions remain about royalties and licensing.
2. Originality and Plagiarism:
   • Can AI truly create something original, or is it just remixing existing content?
   • Detecting plagiarism in AI-generated music poses challenges.
3. Loss of Human Touch:
   • Some argue that AI lacks the emotional depth of human composers.
   • Are we sacrificing authenticity for efficiency?
4. Bias and Representation:
   • AI models learn from existing data, which may perpetuate biases.
   • How do we ensure diversity and fairness in AI-generated music?
5. Limited Sound Quality:
   • Suno and Udio generates radio quality music, which is far from the professional studio quality (CD quality) at this moment, but these music generation technologies are advancing so fast that CD quality may soon be available for the public. 

Conclusion

Suno and Udio exemplify the fusion of art and technology. As we embrace these tools, let’s explore their potential while remaining vigilant about legal, ethical, and creative implications. The future of music lies at the intersection of human creativity and AI innovation.

More interesting articles to come in the future. Happy music-making!

The post Revolution of AI Music Generation: Suno and Udio appeared first on AI Art Blog.