Model Overview
Diffusion Architecture · 2025.1
Tempolor v3.5
Based on a diffusion model and continuous music-audio representations, it generates 44.1kHz stereo high-fidelity music. With an inference real-time factor below 0.1, full-song generation reaches industry-leading speed.
44.1kHz Stereo
Diffusion Architecture
ControlNet Melody Control
Inpaint / Repaint
RTF < 0.1
Overview

Tempolor v3.5 is based on a diffusion model and continuous music-audio representations, supporting the generation of 44.1kHz stereo high-quality music. In its technical roadmap, this version evolves from a paradigm emphasizing semantic-skeleton modeling toward a high-fidelity paradigm centered on continuous acoustic representations, markedly improving sound texture, spatial layering, dynamics and the overall naturalness and completeness of the listening experience.

By introducing controllable-generation capabilities such as ControlNet and Inpaint / Repaint, Tempolor v3.5 further expands editability and controllability in scenarios like melody control, lyric editing and local repainting, providing a technical foundation for finer music creation and interactive editing.

In terms of inference efficiency, the real-time factor is below 0.1, with full-song generation speed at the industry-leading level.

Performance

Tempolor v3.5 has a clear advantage in fine listening detail and atmospheric expression. The model more naturally restores reverb tails, dynamic swells, textural layering and spatial depth, making results more immersive in emotion-driven content such as lyrical, ethereal, suspenseful and epic pieces.

Compared with the previous two generations, 3.5 cares not only about "writing it right" but about "sounding good," making it better suited to film scoring, atmospheric music and brand mood music — scenarios with higher demands on listening completeness.

Especially in vocals, it delivers excellent vocal quality across singing skill, vocal timbre, vocal fidelity and lyric clarity.

* Data as of May 2025

Real-Time Factor (RTF)

Lower is faster
Yue
12
Udio V1.5
1.48
Suno v4
0.84
Mureka v5.5
0.27
DiffRhythm v1.0
0.1
AceStep v1.0
0.063
Tempolor V3.0
0.02

Inference time for 120s of audio

Unit: seconds
Yue
1200
Udio V1.5
177
Suno v4
100
Mureka v5.5
32
DiffRhythm v1.0
12
AceStep v1.0
3.84
Tempolor V3.0
2.5
Tempolor V3.0 Speed
Industry-leading commercial music-generation model
Tempolor V3.0 RTF 0.02
Generates 2 minutes of music in 2.5 seconds

* Based on NVIDIA RTX 4090

Comparison of time to generate 120s of music audio (inference on an Nvidia L20 GPU)

Time to generate 120s of music audio

Time: seconds
Yue
60
Mureka
36
DiffRhythm
20
AceStep
10
Tempolor V3.0
2.5
010203040506070
Works
十五运会 AI 主题曲官方主题曲
CinematicAnthem
旋转的洗衣机数字人MV
ElectronicMV
熊出没宣传片
CinematicTrailer
36氪 WISE AI 主题曲大会主题曲
CinematicAnthem
故乡的风与月
0:00 / 0:00
Chinese FolkBallad
街角のソノリティ
0:00 / 0:00
J-PopCity Pop
风过山岗
0:00 / 0:00
FolkAcoustic
听见星河
0:00 / 0:00
CinematicAmbient