Use OpenAI's Jukebox model for model comparison, editing, and export-ready experiments.
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Try these Jukebox music prompts
A model page is more useful when Jukebox is judged against exports, voice quality, editing control, and creator use cases.
@marcusloops · Remix maker
Track to editable stems
“The stem workflow is where it clicked for me. I can split, remix, and rebuild ideas without starting from a blank session.”
Edit workflow
Vocal, drums, bass, and instrumental paths for remixing.
@rileyrecords · Podcast host
Show concept to intro music
“My show needed an intro that sounded like mine, not a template. I wrote the vibe in plain English and got an opener I can reuse.”
Audio identity
Intro, outro, and segment bumper directions.
@northstudio · Shopify ads editor
Product brief to jingle
“The product page became a short jingle before my ad edit was finished. That is exactly the speed a small brand needs.”
Ad package
Brand hook, CTA ending, and commercial-use export path.
Navigate to MeloLab and sign in or create a free account. Access OpenAI's pioneering Jukebox model with no GPU or Python setup required.
Choose Jukebox from the model selector. This historical model from OpenAI uses a hierarchical VQ-VAE + autoregressive architecture, trained on 1.2 million songs.
Select from decades of musical genres and artist styles. Jukebox can generate convincing approximations from 1950s rock and roll to modern hip-hop and classical compositions.
Enter your own lyrics and Jukebox creates melodies and vocal performances that align with your text — a pioneering lyric-conditioned generation approach that was groundbreaking at release.
Adjust sampling temperature, top-p, and other parameters to control the diversity and quality of generation. Jukebox operates at the raw audio level for full sonic texture.
Click generate and Jukebox produces music at the raw audio level using multi-scale VQ-VAE, capturing instrument timbres, room acoustics, and vocal characteristics.
Jukebox generation requires more processing time due to its raw audio synthesis approach. Once complete, download your track and experience AI music history — note the repository was archived in April 2026.
Jukebox is OpenAI's pioneering AI music generation model, originally released in 2020. The GitHub repository was archived on April 8, 2026, and is now read-only. It was one of the first models to demonstrate convincing AI-generated music with vocals, trained on 1.2 million songs using a multi-scale VQ-VAE architecture.
While no longer actively developed, Jukebox remains an important milestone in AI music research. OpenAI is reportedly developing a new AI music generation model that would be Jukebox's spiritual successor, potentially competing with Suno and Udio.
On MeloLab, Jukebox is available as a historical reference model, allowing you to experience where AI music generation began.
Jukebox V1 should be evaluated by its real output behavior: how it follows structure prompts, handles vocals or instrumental passages, responds to genre tags, and fits into a repeatable creation workflow. On MeloLab, OpenAI output can be tested beside other models so creators can choose it for songwriting, scoring, and content production when its tone, speed, and control style match the project.
Jukebox generates music at the raw audio level using a hierarchical VQ-VAE architecture. This approach produces music with natural timbral qualities and realistic sonic texture that captures the nuances of real audio.
Generate music that follows specific lyrics you provide. Jukebox can create melodies and vocal performances that align with your text, producing songs where the music matches the lyrical content.
Trained on a massive dataset spanning many genres and decades of music. Jukebox can generate convincing approximations of everything from 1950s rock and roll to modern hip-hop, classical compositions to electronic dance music.
Running Jukebox locally requires significant GPU resources. MeloLab provides cloud-powered access so you can generate music instantly in your browser without any hardware requirements or technical setup.
Explore ACE Step 1.5 for song drafting, prompt testing, and side-by-side AI music workflows in MeloLab.
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Compare Google Lyria 3 Pro specs, strengths, and prompt behavior before choosing it for vocal generation.
Turn prompts, use cases, lyrics, and style notes into complete AI songs you can refine and export.
No credit card required. Start creating in seconds.
No credit card required. Generate your first track in under 60 seconds.
MeloLabAI-powered music generation platform. Create songs with vocals, custom lyrics, and stem separation. Paid plans include commercial use rights for eligible music.
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