Meet Mureka O1, it uses Chain-of-Thought (CoT) for structured AI music, claiming superior quality to Suno. Offers 10 languages, voice cloning, API & unique model fine-tuning.
Sharing Mureka O1, their latest AI music generation model. It's truly impressive and promising!
The really interesting part of O1 is, it's the music reasoning model using Chain-of-Thought ("MusiCoT"). It plans the song structure first, leading to impressively coherent and musical results. It seems O1 surpasses Suno V4 in quality and has lower latency.
Honestly, the O1 model's ability to structure music beforehand makes a noticeable difference in quality. It feels less random and more intentional.
Beyond that, Mureka packs some standout customization features:
🎤 Vocal Cloning: Train the AI on your voice! They claim to be the first platform offering this custom timbre control. 🎼 Model Fine-tuning: Uniquely, you can fine-tune the V6 model on your private music library for custom styles. 🔌 API Access: For music generation, TTS, and voice cloning. 🔗 Song Reference: Use audio/YouTube links as prompts. ✂️ Editing Tools: Includes "Region Edit" and "Extend".
I am a big fan of Suno, but I do feel like this time Mureka is achieving something phenomenal.
Mureka O1 sounds like a serious step forward in AI-generated music. How does the CoT approach influence musical structure compared to more typical diffusion models?
As music producer this is the best Music AI so far, it help us the producers to have more references and ideas for our music, this AI level up our producing method too! Say no more to burnout while looking for melodies
Tried it out and it's very impressive! Instantly noticeable leap in quality compared to others out there. Great job!
🎉 Huge congrats Mureka team @rickyricky@rayn_pan on launching Mureka O1! As a music tech geek, the Chain-of-Thought approach for structured composition is GENIUS! MusiCoT's pre-planning makes the outputs 10x more coherent than typical AI music tools 🚀
Three standouts blew my mind: 1️⃣ The voice cloning + private model fine-tuning combo is EVERY indie artist's dream setup 2️⃣ Region Edit finally brings surgical precision to AI music generation 3️⃣ API design shows deep understanding of music tech ecosystem integration
Quick suggestion: Could you add multi-track export? Crucial for mixing/mastering workflows. Also BPM detection+sync for the song reference feature would be 🔥 for remix creators! Already bookmarked in my Notion music stack - when's the Discord community launching? 😉
Mureka O1 represents a fascinating evolution in AI music generation! The implementation of Chain-of-Thought reasoning for music creation is truly innovative, potentially solving the structure and coherence issues that have challenged AI music tools.
What stands out is how the technology approaches music creation with a more logical, reasoned framework compared to other solutions. The support for 10 languages and voice cloning capabilities makes this accessible to creators worldwide, while the API integration offers exciting possibilities for developers.
The ability to fine-tune the model for unique styles could be a game-changer for artists looking to develop their signature sound while leveraging AI. If it truly outperforms Suno as claimed, we might be witnessing a significant leap forward in AI-generated music quality and usability.
Looking forward to hearing samples from Mureka O1 and seeing how the music community embraces this technology. The balance between technical innovation and creative expression here seems particularly promising!
Congrats on your launch! The Mureka 01 model has a clearer and more touching sound than the SUNO v4. Good job. Look forward to trying it more.
Just One Question: When the O1 model will be available to API Access?
Mureka O1's CoT-driven structured music generation is a game-changer — surpassing Suno in quality while enabling multilingual creativity and voice cloning is brilliant! How does the API handle real-time integration for app developers? Also, what's the minimum voice sample required for accurate cloning? Excited to see how model fine-tuning unlocks niche genres!
This is amazing @zaczuo! I love music (and I happen to be a guitarist as well!) and recently have been exploring the intersection of AI and music. This definitely seems interesting. The MusiCoT approach in particular is impressive - it makes the music feel much more intentional.
