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# Image generation with diffusion models using Keras and TensorFlow

**[Towards Data Science](https://daily.dev/sources/tds)** · 7 min read · 0 upvotes · 0 comments

## Summary

This post explores the use of diffusion models in image generation, comparing them to GANs and explaining the forward noising and backward denoising processes. It also provides code examples for creating a diffusion model using Keras and TensorFlow.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/image-generation-with-diffusion-models-using-keras-and-tensorflow-9f60aae72ac>

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Tags: [#ai](https://daily.dev/tags/ai), [#genai](https://daily.dev/tags/genai), [#tensorflow](https://daily.dev/tags/tensorflow), [#keras](https://daily.dev/tags/keras), [#diffusion-models](https://daily.dev/tags/diffusion-models)

[View this post on daily.dev](https://daily.dev/posts/image-generation-with-diffusion-models-using-keras-and-tensorflow-oueszmw1a)

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