Text to image using DCGAN Architechture

Hey! I am a beginner at this and I'd like to see how DCGAN Architecture would work for Text to Image. I have added a text embedding module within the Generator and Discriminator. While the batch output seems to be improving over epochs, the model doesn't work well on unseen text. It seems to generate the same image every time. I am using the CUBS dataset with approx 10 captions for each image. Can someone help me understand what is …

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