In order to use TensorFlow's tf.distribute.Strategy for distributed training of generative models, you can wrap the model creation and training logic inside a strategy's scope.
Here is the code snippet you can refer to:
Hence, this ensures that the training is distributed across all available GPUs or devices. Adjust the strategy type (e.g., tf.distribute.MultiWorkerMirroredStrategy) for other setups like multi-node training.
Therefore, by referring to the above, you can use TensorFlows tf distribute Strategy to distribute generative model training.