# ASLP-lab/DiffRhythm

Di♪♪Rhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion

Repository: https://github.com/ASLP-lab/DiffRhythm
Canonical: https://ross.abutalabs.com/products/diffrhythm
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-11-27T13:30:12+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 54, release rhythm 35, longevity 39
- inputs: {"age_days": 556, "days_push": 279, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2339, forks 275 (observed 2026-08-28T04:06:38.537334+00:00)

## What it is
DiffRhythm is an open-source latent diffusion model for end-to-end full-length song generation, supporting lyrics-to-song, text style prompts, and instrumental music generation. It is the first open-sourced diffusion-based model capable of generating complete songs up to several minutes long.

## Use cases
- generate a full-length song from lyrics
- create instrumental music from a text prompt
- generate songs in a specific style like jazz or indie folk
- continue or edit an existing song with AI
- run a fast open-source music generation model locally

## When to choose
- you need open-source, full-length song generation with a diffusion model
- you want fast inference for complete songs with vocals or instrumentals
- you want to self-host music generation on GPU or macOS

## When to avoid
- you need fine-grained DAW-style music editing rather than generative output
- you have no GPU and need real-time generation
- you need licensed commercial stock music with clear rights guarantees

## Facets
- artifact type: library
- maturity: active
- function: audio-processing, machine-learning, deep-learning
- domain: artificial-intelligence, media
- platform: python, cross-platform
- tags: music-generation, latent-diffusion, text-to-music, song-generation, tts-adjacent, audio, gpu

## Member repositories
- ASLP-lab/DiffRhythm (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:38.537334+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:37:26.118694+00:00, confidence not recorded.
  - readme: https://github.com/ASLP-lab/DiffRhythm (fetched 2026-08-28T04:06:38.537334+00:00, sha b01790c62bd5)
- Data as of 2026-08-30T08:39:29.467469+00:00.