Hybrid diffusion-autoregressive architecture. Genre-aware conditioning. Up to 330 seconds. 15 credits per track.
Tempolor v4.6 combines a latent diffusion backbone with an autoregressive token prediction head, enabling simultaneous global structure planning and fine-grained note-level detail generation.
The model was trained on 4.2 million high-quality music tracks spanning 200+ genres, with explicit genre conditioning tokens that allow precise stylistic control without prompt engineering.
A dedicated emotional valence encoder maps descriptive text to a continuous emotional embedding space, producing outputs that consistently match the intended mood — from melancholic ambient to euphoric EDM.
Increased to 330 seconds with coherent musical structure throughout, including verse-chorus-bridge awareness.
Separate control over up to 8 independent instrument stems without degrading the overall mix quality.
Redesigned phoneme-to-note aligner that reduces syllable slippage by 63% compared to v4.5.
Native metronome conditioning ensures tempo stability even in complex polyrhythmic passages.
Live audio demos available after sign-up. Tracks generated in real time with Tempolor v4.6.
Try it Free →Measured on Tunee infrastructure (A100 cluster, batch size 1). Times are wall-clock including queuing.
| Model | CLAP ↑ | FAD ↓ | KL ↓ | MOS ↑ |
|---|---|---|---|---|
| Tempolor v4.6YOU | 0.847 | 2.34 | 0.91 | 4.38 |
| Tempolor v4.5 | 0.755 | 2.86 | 1.00 | 4.16 |
| Mureka V9 | 0.731 | 3.12 | 1.08 | 4.02 |
| Lyria 3 Pro | 0.718 | 3.44 | 1.15 | 3.91 |
| Ace-Step 1.5 | 0.694 | 3.71 | 1.22 | 3.78 |
| Feature | Tempolor v4.6 | Tempolor v4.5 | Mureka V9 | Lyria 3 Pro |
|---|---|---|---|---|
| Vocal generation | ✓ | ✓ | ✓ | ✓ |
| Instrumental stems | ✓ (8) | ✓ (4) | ✓ (4) | — |
| Max duration | 330s | 240s | 330s | 120s |
| BPM locking | ✓ | ✗ | ✓ | ✗ |
| Lyric-melody align v2 | ✓ | ✗ | ✗ | ✗ |
| Genre conditioning | 200+ | 120+ | 80+ | 60+ |
| Commercial license | ✓ | ✓ | ✓ | ✓ |
Evaluation conducted on Tunee internal test set (June 2026). Third-party model metrics sourced from published papers and official benchmarks.
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