Tag: text-to-music
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YuE2 Matches Suno v5 on Open Weights — With a Score You Can Edit
Multimodal Art Projection (M·A·P) published the weights for YuE2 on September 10, 2026 — a roughly 3.6-billion-parameter music generation model that turns a style prompt and lyrics into a complete 48 kHz stereo song, and, unusually, exposes the melody and chords it wrote as an editable score before rendering any audio. On WildSongBench, a 192-prompt […]
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MiniMax Opens Music 3.0 Weights — No Territorial Carve-Out This Time
MiniMax published the weights for Music 3.0 on August 13, 2026, releasing an ~11.1B-parameter text-to-music model that generates complete five-minute songs — vocals, arrangement, and production — in a single pass. The weights are on Hugging Face, GitHub, and ModelScope, and ComfyUI shipped support the same day. Notably, the accompanying MiniMax-Music3 Community License contains no […]
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ACE-Step 1.5: Open-Source Music Generation That Rivals Commercial AI
Key points ACE-Step 1.5, released on January 28, 2026, is an open-source music generation model jointly developed by ACE Studio and StepFun. It generates a full song in under 2 seconds on an A100 GPU or under 10 seconds on an RTX 3090 while requiring less than 4GB of VRAM. The model uses a two-stage […]
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Introducing MagentaRT: Google’s Open-Weights Real-Time Music Generation Model
Today, Google’s Magenta team unveiled Magenta RealTime (MagentaRT), an 800-million-parameter autoregressive transformer model designed to generate high-fidelity, 48 kHz stereo music in real time with low latency and full user control (magenta.withgoogle.com). Licensed permissively (with some bespoke terms), MagentaRT is the open-weights counterpart to Google’s proprietary Lyria RealTime model and aims to eventually run locally […]