Closed xarthurx closed 11 months ago
Sorry for the documentation. The main difference between the two is that the DreamBooth method can use regularization images and class tokens.
There is documentation translated by darkstorm2150. This is chatgpt4 translated, but seems to be of help. https://github.com/darkstorm2150/sd-scripts#links-to-usage-documentation
Thanks, this is really helpful
There is only Japanese version of
fine-tuning
, and usually people refer dreambooth to "fine tune" native stable diffusion/other diffusers.So what is the main difference between the "dreambooth training" and "fine-tune training" in this repo? When I make a decision, what are the criteria I should refer to?
From my rough understanding, for dreambooth, you can train some image for multiple times (with folder name modification). And for fine-tune, is this for tuning the model with many images in the similar class?
Really confused about this.