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OPEN MODELS / Image to video

Run Sulphur-2-Base-Split on a cloud GPU

Sulphur-2-Base-Split is a Image to video model by vantagewithai. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Rent GTX 1070 from $0.14/hr
Parameters
9B
GPU memory needed
≈ 8 GB
License
—
Downloads
397
Updated May 11, 2026

GPUs it fits on today

Our estimate is about 8 GB for inference with GGUF weights, including working memory. Real use depends on resolution, batch size and context length.

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 Sulphur-2-Base-Split

  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

    Download and run the model

    Run the commands below. The weights download straight from Hugging Face to your machine.

pip install -U "huggingface_hub[cli]"
huggingface-cli download vantagewithai/Sulphur-2-Base-Split --local-dir ./model --include "*Q4_K_M*"
# llama.cpp: ./llama-server -m ./model/*.gguf --host 0.0.0.0 --port 8000

Why run it yourself?

Animating images on hosted services burns credits fast. A rented GPU has no credit limit: you pay per second and can try as many variations as you need.

Questions

How much GPU memory does Sulphur-2-Base-Split need?
By our estimate about 8 GB for inference (9B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run Sulphur-2-Base-Split?
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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