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htdemucs-models
AEmotionStudio/htdemucs-models
htdemucs-models is a audio-to-audio model from AEmotionStudio. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
4/6-Stem Source Separation — Vocals, Drums, Bass, Other (+Guitar, Piano)
Access
Public
Updated Apr 12, 2026
Repo size
223 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors223 MB · 100%
At a glance
- Task
- Audio-to-Audio
- License
- mit
- Access
- Public
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026
- SHA
- 1350068b
Model card
From the Hugging Face model README
HTDemucs Models (Safetensors)
4/6-Stem Source Separation — Vocals, Drums, Bass, Other (+Guitar, Piano)
Original Source by Facebook Research · MIT License
Converted from the original
.thcheckpoint format to safetensors for faster loading and safer deserialization. For use with Mæstræa AI Workstation.
Available Models
| File | Stems | Size | Description |
|---|---|---|---|
htdemucs.safetensors | 4 (drums, bass, other, vocals) | 84 MB | Base model |
htdemucs_ft.safetensors | 4 (drums, bass, other, vocals) | 84 MB | Fine-tuned — best quality ⭐ |
htdemucs_6s.safetensors | 6 (drums, bass, other, vocals, guitar, piano) | 55 MB | 6-stem variant |
Each model has a matching *_config.json with architecture parameters (sources, sample rate, channels).
What HTDemucs Does
HTDemucs (Hybrid Transformer Demucs) separates mixed audio into individual stems:
- Vocals — Singing, spoken word
- Drums — Percussion, kick, snare, hi-hat
- Bass — Bass guitar, synth bass
- Other — Everything else (keys, synths, FX)
- Guitar — (6-stem model only)
- Piano — (6-stem model only)
Key Features
- Real-time capable on GPU
- Adjustable segment size for VRAM control
- Best-in-class separation quality (htdemucs_ft)
- ~4–6 GB VRAM
Original Checkpoint URLs
These safetensors were converted from:
| Model | Original URL |
|---|---|
| htdemucs | https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/955717e8-8726e21a.th |
| htdemucs_ft | https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/04573f0d-f3cf25b2.th |
| htdemucs_6s | https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/5c90dfd2-34c22ccb.th |
Usage with Mæstræa
These models are automatically downloaded by the Mæstræa AI Workstation backend. They can also be used directly with the demucs library:
from demucs.pretrained import get_model
model = get_model("htdemucs_ft")
License
MIT — same as the original Demucs release.
Credits
- Model: Facebook Research / Meta AI
- Paper: Hybrid Transformers for Music Source Separation (Rouard et al., 2023)
- Conversion & Mirror by: AEmotionStudio
- Task
- Audio-to-Audio
- License
- mit
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026