ACE-Step 1.5 Turbo is a music generation model that can create music from text descriptions, lyrics, or audio samples. Supports both simple text-to-music and advanced music generation with metadata like BPM, key scale, and time signature.
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Repository: localaiLicense: mit
ACE-Step 1.5 Turbo (C++ / GGML) — native C++ music generation from text descriptions and lyrics. Two-stage pipeline: text-to-code (Qwen3 LM) + code-to-audio (DiT-VAE). Stereo 48kHz output. Uses Q8_0 quantized models for a good balance of quality and speed.
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ACE-Step 1.5 Turbo (C++ / GGML) with 4B LM — higher quality music generation from text and lyrics. Uses the larger 4B parameter LM for better metadata/code generation. Stereo 48kHz output.
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Repository: localaiLicense: apache-2.0
The Llama-Song-Stream-3B-Instruct is a fine-tuned language model specializing in generating music-related text, such as song lyrics, compositions, and musical thoughts. Built upon the meta-llama/Llama-3.2-3B-Instruct base, it has been trained with a custom dataset focused on song lyrics and music compositions to produce context-aware, creative, and stylized music output.
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Repository: localaiLicense: mit
HTDemucs (audio.cpp, F16) - four-stem music source separation (drums, bass, other, vocals), served by the audio-cpp backend through /audio/transform. One run produces all four stems; ask for a single one with the params[stem] form field, and read the X-Audio-Stems response header for the URLs of the rest. F16 rather than Q8_0 because upstream's tested-status table records Q8_0 as "Pass (drift)" while 16-bit is a clean Pass, and separation drift is audible in an isolated stem in a way it is not in a mix.
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