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Run wan21_ccerf_01-lora on a cloud GPU

wan21_ccerf_01-lora is a AI video generation model by spamnco. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Parameters
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GPU memory needed
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License
creativeml-openrail-m
Downloads
185
Updated Oct 3, 2025

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 wan21_ccerf_01-lora

  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 diffusers transformers accelerate
huggingface-cli download spamnco/wan21_ccerf_01-lora --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?

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

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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