OPEN MODELS / AI video generation
Run Stable-Diffusion on a cloud GPU
Stable-Diffusion is a AI video generation model by FurkanGozukara. 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: FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News,
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 | |
|---|---|---|---|---|
| Titan RTX | 24 GB | $0.25 | $2.50 | Rent |
| RTX 3090 | 24 GB | $0.40 | $4.00 | Rent |
| A10 | 24 GB | $0.43 | $4.30 | Rent |
| RTX A5000 | 24 GB | $0.43 | $4.30 | Rent |
| RTX PRO 4000 | 24 GB | $0.44 | $4.40 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run Stable-Diffusion
- 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/FurkanGozukara/Stable-Diffusion.git
cd Stable-DiffusionWhy 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 Stable-Diffusion 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 Stable-Diffusion?
- 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