Summary

This chapter discussed what Stable Diffusion TI is and the difference between it and LoRA. Then, we introduced a quick way to load any TI into Diffusers to apply a new pattern, style, or object in the generation pipeline.

Then, we dove into the core of TI and learned about how it is trained and how it works. Based on the understanding of how it works, we went a step further to implement a TI loader with the capability of accepting a TI weight.

Lastly, we provided a piece of sample code to call the custom TI loader and then generate an image with a weight of 0.5.

In the next chapter, we'll explore ways to maximize the power of prompts and unlock their full potential.