Introduction:
We’re currently in the midst of a generative AI boom. In November 2022, Open AI’s generative language model ChatGPT shook up the world, and in March 2023 we even got GPT-4!
Even though the future of these LLMs is extremely exciting, today we will be focusing on image generation. With the rise of diffusion models, image generation took a giant leap forward. Now we’re surrounded by models like DALL-E 2, Stable Diffusion, and Midjourney. For example, see the following image below. Just to show the power of these LLMs, I gave ChatGPT a very simple prompt, which I then fed into the free CatbirdAI. CatbirdAI uses different models, including Openjourney, Dreamlike Diffusion, and more:
In this article Daisuke Yamada (my co-author) and I will work towards diffusion. We’ll use 3 different models and generate images in the style of MNIST…
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Continue reading this article at;
https://towardsdatascience.com/generating-images-using-vaes-gans-and-diffusion-models-48963ddeb2b2?source=rss—-7f60cf5620c9—4
https://towardsdatascience.com/generating-images-using-vaes-gans-and-diffusion-models-48963ddeb2b2?source=rss—-7f60cf5620c9—4
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