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| title: StemSplit | |
| emoji: 🎚️ | |
| colorFrom: indigo | |
| colorTo: purple | |
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| # StemSplit on Hugging Face | |
| We build [**StemSplit**](https://stemsplit.io) — a production stem-separation | |
| API for music apps, DJs, video editors, and ML pipelines that need fast, clean | |
| vocal / drums / bass / instrumental tracks without standing up GPUs. | |
| This Hugging Face organization is where we open-source the *measurements, | |
| models, and tooling* behind the service: our benchmark suite, the converted | |
| model checkpoints we run in production, and live demos you can try in the | |
| browser. | |
| --- | |
| ## What we ship here | |
| | Asset | Type | Status | Description | | |
| |---|---|---|---| | |
| | [stem-separation-benchmark-2026](https://huggingface.co/datasets/StemSplitio/stem-separation-benchmark-2026) | Dataset | ✅ live (v1.1) | Reproducible SDR / ISR / SIR / SAR benchmark of every popular open-source separation model on MUSDB18-HQ. 850 rows, full eval methodology and source code. | | |
| | [Music Source Separation Toolkit 2026](https://huggingface.co/collections/StemSplitio/music-source-separation-toolkit-2026-6a0d059a55a1b261e939c9c6) | Collection | ✅ live | Curated list of the open-source models a developer needs in 2026 — plus our benchmark. The fastest way to evaluate the landscape. | | |
| | [htdemucs-ft-pytorch](https://huggingface.co/StemSplitio/htdemucs-ft-pytorch) | Model | ✅ live | HT-Demucs FT (#1 open-source vocal SDR on MUSDB18-HQ) packaged with a ready-to-deploy `handler.py` for Hugging Face Inference Endpoints. Returns all 4 stems. | | |
| | [htdemucs-ft-drums-pytorch](https://huggingface.co/StemSplitio/htdemucs-ft-drums-pytorch) | Model | ✅ live | Drums specialist sub-model. ~160 MB, ~2.6× faster than the full bag, identical drum SDR. For drum extraction, beat transcription, sample-pack creation. | | |
| | [htdemucs-ft-bass-pytorch](https://huggingface.co/StemSplitio/htdemucs-ft-bass-pytorch) | Model | ✅ live | Bass specialist sub-model. Same speed/quality story as drums. For bassline transcription and mix rebalancing. | | |
| | [htdemucs-ft-other-pytorch](https://huggingface.co/StemSplitio/htdemucs-ft-other-pytorch) | Model | ✅ live | "Other" / instrumental specialist. Pair with the vocals model for karaoke, sample-flipping, music-bed extraction. | | |
| | [htdemucs-ft-onnx](https://huggingface.co/StemSplitio/htdemucs-ft-onnx) | Model | ✅ live | **First complete ONNX export of HT-Demucs FT on the Hub.** All 4 specialists + numpy bag aggregator in one repo. Runs in `onnxruntime` CPU/CoreML/CUDA/DirectML, no PyTorch required. | | |
| | [htdemucs-ft-drums-onnx](https://huggingface.co/StemSplitio/htdemucs-ft-drums-onnx) | Model | ✅ live | Drums specialist ONNX. ~75% smaller / 4× faster than the full bag if you only need drums. | | |
| | [htdemucs-ft-bass-onnx](https://huggingface.co/StemSplitio/htdemucs-ft-bass-onnx) | Model | ✅ live | Bass specialist ONNX. For bassline transcription, mix rebalancing. | | |
| | [htdemucs-ft-other-onnx](https://huggingface.co/StemSplitio/htdemucs-ft-other-onnx) | Model | ✅ live | Other/instrumental specialist ONNX. Pair with vocals ONNX for karaoke. | | |
| | [htdemucs-ft-vocals-onnx](https://huggingface.co/StemSplitio/htdemucs-ft-vocals-onnx) | Model | ✅ live | **#1 open-source vocal SDR** (9.19 dB) as ONNX. The defensible centerpiece for iOS/Android vocal-removal apps. | | |
| | CoreML EP profiling + INT8 quantization | Models | 🚧 in progress | Mobile-quantized variants and CoreML benchmarks — Day 3 of the ONNX project. | | |
| | Demo Space | Space | 🚧 in progress | Upload a track, pick a model, compare separations in your browser. | | |
| | Live leaderboard Space | Space | 📋 planned | Community-submittable, continuously evaluated leaderboard for stem separation. | | |
| Subscribe to this org or watch our [benchmark dataset](https://huggingface.co/datasets/StemSplitio/stem-separation-benchmark-2026) | |
| to get notified when new artefacts land. | |
| --- | |
| ## About the StemSplit API | |
| StemSplit gives you the same SOTA open-source models you'll find in this org, | |
| wrapped in a stable REST API with credits, queueing, and a dashboard — so you | |
| can ship a separation product without operating ML infrastructure. | |
| - 🌐 **Product:** [stemsplit.io](https://stemsplit.io) | |
| - 📘 **Developer docs:** [stemsplit.io/developers/docs](https://stemsplit.io/developers/docs) | |
| - 🔌 **API reference:** [stemsplit.io/developers/reference](https://stemsplit.io/developers/reference) | |
| - 📚 **Guides & recipes:** [stemsplit.io/developers/guides](https://stemsplit.io/developers/guides) | |
| Minimal example (curl): | |
| ```bash | |
| curl -X POST https://stemsplit.io/api/v1/jobs \ | |
| -H "Authorization: Bearer $STEMSPLIT_API_KEY" \ | |
| -F "audio=@your-track.mp3" \ | |
| -F "model=htdemucs_ft" | |
| ``` | |
| The `model` parameter accepts any of the open-source models we benchmark here — | |
| so you can verify the quality you'll get against our public SDR numbers before | |
| shipping anything. | |
| --- | |
| ## What we publish open-source vs what's proprietary | |
| **Open-source (here on the Hub):** | |
| - Benchmark methodology, source code, and full results | |
| - Model conversions and quantisations for popular inference runtimes | |
| - Demo Spaces and reference implementations | |
| **Proprietary (the API):** | |
| - Job orchestration, autoscaling, credits, and queueing | |
| - Customer dashboard, billing, and team features | |
| - Optimised production inference pipeline | |
| We use the same open-source models you can benchmark above — see | |
| [*What StemSplit uses internally*](https://huggingface.co/datasets/StemSplitio/stem-separation-benchmark-2026#what-stemsplit-uses-internally) | |
| in the benchmark dataset card for the exact quality-tier → model mapping. | |
| --- | |
| ## How we measure ourselves | |
| Every model we publish or use in production is evaluated with the same | |
| museval-based BSS Eval v4 pipeline, on the standard MUSDB18-HQ test split, on | |
| hardware we disclose. The full pipeline is open source — anyone can clone it, | |
| re-run it, and challenge our numbers. | |
| [**→ Read the methodology**](https://huggingface.co/datasets/StemSplitio/stem-separation-benchmark-2026#methodology) | |
| --- | |
| ## Get in touch | |
| - 🐛 Found a bug in a model card or dataset? [Open a discussion](https://huggingface.co/datasets/StemSplitio/stem-separation-benchmark-2026/discussions) | |
| - ✉️ Business inquiries: [stemsplit.io/contact](https://stemsplit.io/contact) | |
| - 🐦 Follow us: announcements land here first, then go to our blog and social | |
| --- | |
| *This org is maintained by the StemSplit team. All artefacts are released under | |
| permissive licenses unless noted; see individual repos for details.* | |