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Run anything2explainer on a cloud GPU

anything2explainer is a AI video generation model by Vincentwei1021. 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: Topic in, narrated explainer video out. A Claude Code / Codex skill that turns any topic into a black-canvas motion-graphics explainer video with TTS voiceover, subtitles and a chapter progress bar. Chinese or English; every frame drawn in code with Remotion.

Rent Titan RTX from $0.25/hr
Parameters
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GPU memory needed
≈ 24 GB
License
—
GitHub stars
3,334
Updated Nov 15, 2026

GPUs it fits on today

Typical GPU memory for this kind of app: about 24 GB. Bigger models and higher resolutions need more.

GPUMemoryPer hour10 hours
Titan RTX24 GB$0.25$2.50Rent
RTX 309024 GB$0.40$4.00Rent
A1024 GB$0.43$4.30Rent
RTX A500024 GB$0.43$4.30Rent
RTX PRO 400024 GB$0.44$4.40Rent

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

How to run anything2explainer

  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/Vincentwei1021/anything2explainer.git
cd anything2explainer

Why run it yourself?

Hosted video tools charge per clip or per month and put you in a queue. On your own GPU you pay only for the time it runs, make as many clips as you like and keep your prompts and files on your machine.

Questions

How much GPU memory does anything2explainer need?
By our estimate about 24 GB for inference (? parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run anything2explainer?
From $0.25 per hour on Titan RTX, billed per second. Ten hours cost about $2.50.
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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