replicatemodel / swinir_t4

Cheaper model SwinIR: Image Restoration Using Swin Transformer (analogue of the popular model: jingyunliang/swinir)

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Run time and cost

This model costs approximately $0.047 to run on Replicate, or 21 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 4 minutes. The predict time for this model varies significantly based on the inputs.

Readme

This is a cheaper model SwinIR: Image Restoration Using Swin Transformer, use model video card Nvivdia T4 (16GB) . Нere on the site there is a similar model but more expensive and runs on a more powerful video card Nvivdia A100 (40GB) (analogue: jingyunliang/swinir).

The specified operating time of the model is 4 minutes, which is about 3 minutes starting from a cold state and working for about less than 1 minute.

This model allows you to process large files without error “CUDA out of memory”.

The official repository is here: https://github.com/JingyunLiang/SwinIR

Trained models are taken from here: https://github.com/JingyunLiang/SwinIR/releases/tag/v0.0