Question about training
Congrats on your work! Top notch! Works very well. Would be nice to hear more about its training. How many image pairs/groups did you train on? What is the lowest number of image pairs that you think is viable for such a training?
Thank you very much!
The training was done with various open datasets as well as datasets created by myself in different stages. The general editing capability was achieved via the Omniedit dataset. And then refined and more capabilities were added on top via my own smaller datasets. Higher quality definitely beats quantity at this stage of the Lora. Adding new features now takes very little example data. Krea 2 also really just learns very well. V1.1 has a image restoration example in the model card, while not perfect, it's noteworthy that only a single image restoration triple is in the entire dataset, and it's a pretty bad one.
If you have data. I would greatly appreciate it if you were willing to share. That way I can include it in the next training run :)
Yep, krea 2 is a great learner. Best model I ever trained. My editing dataset is rather small & might not be that effective. I'm thinking about other ways to create editing datasets more efficiently, but not there yet.
Do you know this dataset of mine? https://huggingface.co/datasets/stablellama/change_eye_face_head_person
When not, you might want to use it for further training as well
Do you know this dataset of mine? https://huggingface.co/datasets/stablellama/change_eye_face_head_person
When not, you might want to use it for further training as well
I wasn't aware of it and it definitely looks highly useful. Thank you!