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OPEN MODELS / AI music and audio

Run tango2-full on a cloud GPU

tango2-full is a AI music and audio model by declare-lab. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Parameters
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GPU memory needed
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License
cc-by-nc-sa-4.0
Downloads
54
Updated Jan 17, 2026

GPUs it fits on today

The model card does not list its size, so we cannot estimate its memory yet.

No GPU with enough memory is available right now. Check the catalog again later.

Live starting prices from our catalog. You pay per second while the machine runs.

How to run tango2-full

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 03

    Download and run the model

    Run the commands below. The weights download straight from Hugging Face to your machine.

pip install -U transformers accelerate
python -c "from transformers import pipeline; p = pipeline('text-to-audio', model='declare-lab/tango2-full', device=0); print(p)"

Why run it yourself?

Make your own songs and sound without a subscription or per-track fee. Your GPU, your files.

Questions

Do I need a subscription?
No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.

Try it on your own GPU in minutes

Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.

  • Per-second billing in USD
  • PyTorch and CUDA ready in minutes
  • Rent from ChatGPT or Claude too

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