ACE-Step 1.5

Updated music generation model with improved quality and longer generation.

Open SourceSelf HostedOffline CapableGPU Required (8GB+ VRAM)
0.0 (0)

About

ACE-Step 1.5 is an open foundation model for music generation that combines diffusion with a deep-compression autoencoder and a linear transformer to synthesize up to four minutes of music in roughly twenty seconds on an A100. It uses MERT and m-hubert for semantic representation alignment, supports lyric input, and aims to balance generation speed, musical coherence, and controllability. Released as an open-source research checkpoint.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!

Details

Price
Free
Platform
Local/Desktop
Difficulty
Intermediate (3/5)
Minimum VRAM
8 GB
Added
Apr 3, 2026

Related Tools

Latent diffusion model for text-to-audio, music, and speech generation.

Open SourceSelf HostedOfflineGPU 8GB+
Intermediate

Audio super-resolution model for upsampling audio to higher sample rates.

Open SourceSelf HostedOfflineGPU 6GB+
Intermediate
Featured

State-of-the-art music source separation model by Meta for splitting tracks.

Open SourceSelf HostedOffline
Easy

Fast music generation model producing full songs with lyrics in seconds.

Open SourceSelf HostedOfflineGPU 8GB+
Intermediate

Audio diffusion model by Harmonai for generating music samples.

Open SourceSelf HostedOfflineGPU 8GB+
Advanced

PyTorch library for deep learning research on audio generation including MusicGen and AudioGen.

Open SourceSelf HostedOfflineGPU
Intermediate
Browse all Music & Audio Generation tools