Run 10EROS_1.4_Int8_ConvRot on a cloud GPU
10EROS_1.4_Int8_ConvRot is a Image to video model by CornLogic. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.
GPUs it fits on today
The model card does not list its size, so we cannot estimate its memory yet.
No GPU with enough memory is available right now. Check the catalog again later.
Live starting prices from our catalog. You pay per second while the machine runs.
How to run 10EROS_1.4_Int8_ConvRot
- 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
Download and run the model
Run the commands below. The weights download straight from Hugging Face to your machine.
pip install -U diffusers transformers accelerate
huggingface-cli download CornLogic/10EROS_1.4_Int8_ConvRot --local-dir ./model
python -c "import torch; from diffusers import DiffusionPipeline; p = DiffusionPipeline.from_pretrained('./model', torch_dtype=torch.bfloat16).to('cuda'); print(p)"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
- 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