Training Stable Diffusion with Dreambooth using Diffusers

look, dreambooth is just a fancy way to tell a pre-trained model how to look at specific things, and diffusers just makes the pipeline easier to rip apart and reassemble. it's great for getting specific art styles, but don't let it fool you into thinking it solves all image quality issues. the real work is in curating the dataset and dealing with artifacts.

we're using diffusers because it simplifies the distributed setup, which saves us from debugging CUDA memory issues all the time. it's just better plumbing for the expensive operation.

costs are fine, but the time spent making sure your prompt engineering doesn't introduce unwanted bias is where the actual development time goes. it's still painstaking work.