OPEN MODELS / Image editing and upscaling
Run Fibo-Edit-1.5-base on a cloud GPU
Fibo-Edit-1.5-base is a Image editing and upscaling model by ml-resources. 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 21 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 |
| RTX 3090 | 24 GB | $0.39 | $3.90 | Rent |
| Titan RTX | 24 GB | $0.40 | $4.00 | Rent |
| RTX A5000 | 24 GB | $0.42 | $4.20 | Rent |
| A10 | 24 GB | $0.43 | $4.30 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run Fibo-Edit-1.5-base
- 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 ml-resources/Fibo-Edit-1.5-base --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 Fibo-Edit-1.5-base need?
- By our estimate about 21 GB for inference (8.3B parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run Fibo-Edit-1.5-base?
- 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