Summary
In this chapter, we learned about creative ways to leverage a diffusion model for multiple applications. In the process, we also learned about the working details of various architectures along with the code implementations.
This, in conjunction with the strong foundations of understanding how diffusion models work, will ensure that you are able to leverage Stable Diffusion models for multiple creative works, modify and fine-tune architectures for custom image generation, and combine/pipeline multiple models to get the output you’re looking for.
In the next chapter, we will learn about deploying computer vision models and the various aspects that you need to consider when doing so.
