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The selected input parameters are then encoded into a numerical format that can be interpreted by the AI algorithm.

This encoding process typically involves converting the inputs into a vector or matrix of numerical values.

Once the inputs are encoded, the AI algorithm uses its knowledge of image patterns and features to generate a new image that fits the desired specifications.

This process might involve using techniques such as convolutional neural networks, generative adversarial networks, or other machine learning algorithms to create a new image that meets the desired specifications.