Must I use regulization imgs retrieved from laion?

[CoderZhangYx]

Thanks for your wonderful work!
When i want to train a model for myself, i found that the code starts to download imgs from laion. Is this process necessary? Could i use local images? In other words, can i prepare the regulization images myself and specify them for the code?

[nupurkmr9]

Hi, you can provide your own regularization images as well. E.g., if using diffusers:

1. If your regularization images have unique prompt for each image.
   Save images with path class_data_dir/{'_'.join(class_prompt.split())} and have an images.txt and caption.txt in class_data_dir. The images.txt should have the absolute path to the image and caption.txt its corresponding text caption. Also modify the num_class_images argument to the number of images you have.

2. If all the regularization images have a single common prompt.
   Disable real_prior flag during training. And have num_class_images in the class_data_dir. And provide the common prompt as class_prompt argument.

Let me know if this doesn't suit your requirement. And I can try to make the code more modular to support this by default.
Thanks.

[CoderZhangYx]

Hi! Thanks for your reply!
Useful solutions! But while following your "single common prompt" suggestion, there comes 2 cases:

1. concept_list should be None, otherwise class_data_dir won't work. And this is useful for single-concept training only.

2. for multi-concept training, it seems that further modification for the args should be taken. I'm done by modifying assets/concept_list.json, as well as disabling real_prior. In this way, class_prompt and class_data_dir are specified in assets/concept_list.json and thus not needed in args.

Hope that you can provide detailed instruction in documents for later followers! Thanks for your nice work!