A method for an image super-solution, a device and a storage medium are provided. The method may include: acquiring training samples, where the training samples include a first-resolution sample image and a corresponding second-resolution sample image, and a resolution of the second-resolution sample image is N times a resolution of the sample of first resolution, N being a positive integer; and training an initial network model by using the first-resolution sample image as an input and using the second-resolution sample image as an output, to obtain the super-resolution model.