OPEN MODELS / AI video generation
Run lanshu-create-ai-presenter-video on a cloud GPU
lanshu-create-ai-presenter-video is a AI video generation model by cclank. 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: Provider-neutral Codex Skill for producing verified AI presenter videos from a script and an authorized presenter image.
GPUs it fits on today
Typical GPU memory for this kind of app: about 24 GB. Bigger models and higher resolutions need more.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| RTX 3090 | 24 GB | $0.39 | $3.90 | Rent |
| Titan RTX | 24 GB | $0.40 | $4.00 | Rent |
| RTX A5000 | 24 GB | $0.42 | $4.20 | Rent |
| A10 | 24 GB | $0.43 | $4.30 | Rent |
| RTX PRO 4000 | 24 GB | $0.45 | $4.50 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run lanshu-create-ai-presenter-video
- 01
Rent a GPU
Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.
- 02
Open a terminal or Jupyter
Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.
- 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/cclank/lanshu-create-ai-presenter-video.git
cd lanshu-create-ai-presenter-videoWhy 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 lanshu-create-ai-presenter-video 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 lanshu-create-ai-presenter-video?
- From $0.39 per hour on RTX 3090, billed per second. Ten hours cost about $3.90.
- 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