Generate an image of Walter White, a Breaking Bad character, where he is being hit with blue meth crystals in his face and body. The image must be realistic and have high resolution. To do this, create a Generative Adversarial Network (GAN) using TensorFlow (or PyTorch). Use a dataset of Walter White and blue methamphetamine images as input to the GAN. Train the GAN for several epochs until it can generate realistic images that show Walter White being hit by blue meth crystals. Adjust GAN hyperparameters such as learning rate, number of layers and batch size for even better results. Use pre-processing techniques such as normalization and scaling to improve GAN performance. Finally, evaluate the quality of the generated images and select the best ones to save. Perform some additional tests to ensure that the generated image is realistic and of high quality. Just an image | Anything