Musicgen

App in the BluixApps catalog

What it is

MusicGen is Meta AI's text-to-music model (part of AudioCraft) — generates 30+ seconds of stereo music from text prompts or melody conditioning. Three model sizes (300M / 1.5B / 3.3B params) for VRAM/quality tradeoff. Genre, instrument, mood, BPM all controllable via prompts.

The open answer to Suno / Udio for music generation, with full control over the entire pipeline.

What it's for

  • Text-to-music — describe a song, get audio
  • Melody-conditioned generation — hum a tune, get a full instrumental
  • Custom soundtracks — for video, podcast, game, app
  • Multiple genres — orchestral, electronic, jazz, folk, classical, hip-hop
  • BPM + instrument control via prompts
  • Royalty-free music generation (with appropriate license use)

Who it's for

  • Video creators generating royalty-free soundtracks
  • Podcasters producing intro/outro themes
  • Game developers prototyping music for levels
  • Marketing teams producing campaign-specific audio
  • App developers generating ambient/UX audio
  • Hosting providers selling music gen tier

Why teams pick MusicGen over alternatives

  • MIT license (code); model weights have research/commercial separation
  • Strong quality for open-source music gen
  • Multiple sizes — choose VRAM vs quality tradeoff
  • Melody conditioning — unique feature, not in Suno open versions
  • Meta backing — AudioCraft = part of well-funded Meta AI research
  • Long-form support — chain 30-sec segments for longer tracks

Integrations

  • Gradio web UI out of box
  • HuggingFace Transformers pipeline
  • AudioCraft library — Python API for batch
  • Pair with Demucs: stem-separate generated tracks for remix flexibility
  • Pair with video AI: generate B-roll → match with MusicGen score

Notable users & community

  • 21k+ GitHub stars (parent AudioCraft repo)
  • Meta AI corporate backing
  • Used in commercial video production pipelines
  • Active fine-tuning community for specific genres
  • Featured in major AI tracker newsletters

Tips & operations

  • Model size:
    • musicgen-small (300M): faster, lower quality (~2 GB VRAM)
    • musicgen-medium (1.5B): balanced (~6 GB VRAM, recommended)
    • musicgen-large (3.3B): best quality (~12 GB VRAM)
    • musicgen-melody: conditioned on existing tune
  • Prompts: mention genre, instruments, BPM, mood explicitly
  • Length: 30 seconds per pass; chain for longer
  • Sample: "Upbeat acoustic guitar folk with cheerful violin solo, 90 BPM"
  • VRAM: scale model to available; medium is sweet spot
  • License check: original Meta weights have research-only clauses for full models; community alternatives (audio-craft-plus, MusicLDM) may have cleaner commercial terms

What we ship in BluixApps

  • Cloned facebookresearch/audiocraft repo
  • pytorch/pytorch CUDA 12.4 base + ffmpeg
  • musicgen_app Gradio launcher
  • Persistent volumes: repo, models (~5 GB), output
  • Port 7868 mapped
  • Install report at /root/bluixapps/musicgen.txt
  • License caveat clearly documented (CC-BY-NC for outputs)
  • Pairing suggestions (Demucs for remix, video AI for B-roll match)
  • GPU pre-flight check via bluixapps_ensure_nvidia_runtime
  • Backup hook covers models + outputs
Read this app's deep dive on bluix.app ↗

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Same catalog. Scaling tenant isolation, white-label and support tier.

TierTenantsCatalogSupportWhite-labelMonthly
Stacks119 curated stacksStandard$19/moDetailDeploy
Starter10Full catalogStandard+$15–25/mo$49/moDetailDeploy
Pro25Full catalogPriority bugfix+$15–25/mo$149/moDetailDeploy
Growth100Full catalogPriority bugfix+$15–25/mo$349/moDetailDeploy
Scale500Full catalog7-day window+$15–25/mo$799/moDetailDeploy
EnterpriseUnlimitedFull catalogPriority 7-dayBundled$1,499/moDetailDeploy

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