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Tianpule Large Model V4.7 Released with Enhanced AI Music Remixing and Cover Capabilities
Quwan Technology released Tianpule 4.7 at WAIC 2026, focusing on making AI-generated music more controllable and editable. The upgrade introduces enhanced Remix and Cover features, allowing users to modify style, arrangement, and vocals while preserving original melodies.
Quwan Technology officially launched Tianpule Large Model V4.7 at the WAIC 2026 World Artificial Intelligence Conference. The new version is integrated into the company's conversational music creation agent Tunee and is also available through the Tianpule OpenAPI for developers and enterprise users.
Unlike previous versions that focused on improving audio quality and song length, V4.7 centers on making AI-generated music more controllable and editable for users. The upgrade's key features are enhanced Remix rewriting and Cover capabilities, enabling users to redesign music styles, arrangements, and vocal performances while retaining core melodies.
For example, a lyrical melody can be reinterpreted as electronic, rock, or light jazz. An existing song can receive new lyrics and vocal timbres while maintaining its recognizable melody. The Tianpule team calls this "rapid motivation regression" — the model rewrites appropriately based on new lyrics and structure while returning to the core melody at key points.
V4.7 also addresses reference audio leakage, minimizing direct copying of original vocals and timbres to produce cleaner, more independent results. The model's prompt response has been significantly improved through retrained data labeling, enabling more reliable execution of specific requests like "reduce drumming" or "add backing vocals."
Third-party testing compared Tianpule V4.7 against Suno V5.5, Mureka V9, and MiniMax V2.6 across 60 Chinese and English test samples. V4.7 scored highly on content enjoyment, memorability, and sound clarity metrics.
Since 2024, Tianpule has evolved through four generations of music generation architecture. V4.7 is the seventh iteration on the fourth-generation layered progressive framework, which decomposes music generation into musicality, semantics, and acoustics. The new version achieves roughly 20% performance improvement, generating complete songs in under 60 seconds with 48kHz stereo output.
Sources
Why it matters
Tianpule 4.7 marks AI music's transition from a generation-capability contest to a creative-control contest, evolving AI from one-shot generation tool into an iterative creative partner.
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