This application provides a training method, device, completion method, equipment, and medium for an action completion model. The training method of the model includes: collecting a large number of raw action numbers of human body movements, performing preprocessing to obtain a data set, and using the data set to analyze the action Completing the neural network model for training and optimization to obtain a trained motion-completing neural network model. Based on the well-trained motion completion neural network model, it can predict and calculate the data that automatically generates a large number of motion transition frames, which is suitable for scenes with long generation time, large number of transition frames, and complex motions, and the generated transition frames are realistic, reducing the original The labor cost required for the interpolation scheme improves the project quality and shortens the project cycle. The model training device, action completion method, computer equipment, and computer-readable storage medium provided by the present application all have the above-mentioned beneficial effects.