declare-lab/tango

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1239 stars · 105 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Tango is a family of latent diffusion models for text-to-audio generation, with Tango 2 improving prompt alignment via DPO-based fine-tuning. It provides Python code and pretrained checkpoints on Hugging Face for generating sound effects and audio from text prompts.

Use cases

• generate sound effects from text descriptions
• create audio for film or game pre-production mockups
• text-to-audio generation with diffusion models
• fine-tune a text-to-audio model with preference optimization
• generate audio with temporally ordered events from a prompt

When to choose

• you need research-grade text-to-audio generation in Python
• you want pretrained checkpoints and DPO-aligned audio quality
• you need reproducible models from published papers

When to avoid

• you need fast production inference - TangoFlux is the faster SOTA successor
• you need lyrics-to-song generation - use the Jam project instead
• you need a hosted no-code tool rather than a Python library

Facets

library · maturity active

audio-processing machine-learning deep-learning llm-training deep-learning artificial-intelligence media python cross-platform text-to-audio diffusion-models latent-diffusion dpo audio-generation huggingface audio gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="declare-lab/tango")