OPEN MODELS / Image editing and upscaling
Run SeedVR2-7B-mlx-int8 on a cloud GPU
SeedVR2-7B-mlx-int8 is a Image editing and upscaling model by benc0. 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
Our estimate is about 18 GB for inference with BF16 weights, including working memory. Real use depends on resolution, batch size and context length.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| RTX 2080 Ti | 22 GB | $0.20 | $2.00 | Rent |
| Tesla P40 | 24 GB | $0.24 | $2.40 | Rent |
| RTX 4000Ada | 20 GB | $0.35 | $3.50 | Rent |
| RTX 3090 | 24 GB | $0.39 | $3.90 | Rent |
| Titan RTX | 24 GB | $0.40 | $4.00 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run SeedVR2-7B-mlx-int8
- 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 benc0/SeedVR2-7B-mlx-int8 --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?
Batch editing and upscaling are heavy jobs. A cloud GPU finishes them quickly and you stop paying when the job is done.
Questions
- How much GPU memory does SeedVR2-7B-mlx-int8 need?
- By our estimate about 18 GB for inference (7B parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run SeedVR2-7B-mlx-int8?
- From $0.20 per hour on RTX 2080 Ti, billed per second. Ten hours cost about $2.00.
- 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