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OPEN MODELS / Text to speech

Run VoiceStudio on a cloud GPU

VoiceStudio is a Text to speech model by debpalash. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

From the project: VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.

Rent GTX 1070 from $0.14/hr
Parameters
—
GPU memory needed
≈ 8 GB
License
AGPL-3.0
GitHub stars
111,264
Updated Nov 15, 2026

GPUs it fits on today

Typical GPU memory for this kind of app: about 8 GB. Bigger models and higher resolutions need more.

GPUMemoryPer hour10 hours
GTX 10708 GB$0.14$1.40Rent
RTX 306012 GB$0.15$1.50Rent
GTX 1070 Ti8 GB$0.16$1.60Rent
GTX 10808 GB$0.16$1.60Rent
Q RTX 40008 GB$0.16$1.60Rent

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

How to run VoiceStudio

  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

    Clone the app and follow its README

    Run the commands below, then follow the project's README. Most apps start a web interface you can open through the machine's ports.

git clone https://github.com/debpalash/VoiceStudio.git
cd VoiceStudio

Why run it yourself?

Hosted voice services charge per character. On your own GPU long narration costs only the minutes the machine runs.

Questions

How much GPU memory does VoiceStudio need?
By our estimate about 8 GB for inference (? parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run VoiceStudio?
From $0.14 per hour on GTX 1070, billed per second. Ten hours cost about $1.40.
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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