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OPEN MODELS / Text to speech

Run lemo-opuscar on a cloud GPU

lemo-opuscar is a Text to speech model by lemomo-ai. 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: A toolbox of film styles made in code for Claude Code: 99 ready to use, and your own. Each style is a style prompt plus a demo film made entirely in code by Claude Opus 5.5, with no video model. By Lemomo. · 一套用代码做片的风格工具箱:99 种现成风格,也能做出你自己的

Rent GTX 1070 from $0.14/hr
Parameters
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GPU memory needed
≈ 8 GB
License
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GitHub stars
16,702
Updated Nov 12, 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 lemo-opuscar

  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/lemomo-ai/lemo-opuscar.git
cd lemo-opuscar

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 lemo-opuscar 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 lemo-opuscar?
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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