Deep-Mux/TransGAN
A quick guide on how to deploy TransGAN network on the cloud
This project offers a quick guide to setting up and running a TransGAN network on a cloud platform. It takes the pre-trained weights of a TransGAN model as input and generates synthetic images resembling celebrity faces (CelebA-like images) as output. This is for developers or researchers who want to deploy a Generative Adversarial Network (GAN) for image synthesis.
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Use this if you are a developer looking for a straightforward way to deploy a TransGAN model on a serverless cloud environment for image generation tasks.
Not ideal if you are an end-user without programming experience or if you need to train a GAN from scratch rather than deploying a pre-trained one.
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Feb 25, 2021
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