Character LoRA of a woman, african ethnicity. This the first LoRA I managed to train properly based on generated images.
Here is an example of a prompt:4nit4, woman, running in the park, wearing a blue tracksuit
This LoRA was initially created to see how the consistency between images during seedlocking worked, and if training a LoRA with it would leave enough flexibility for the model to follow the prompt. I find it to be working well.
The dataset creation process:
I first generated a prompt that would define the character exhaustively, locked the seed and generated about 200 images with various actions / lighting / clothes.
I then do a pass of face recognition on the generated images to keep as much consistency as possible for the input images and select about 20 that are used for training.
Description
FAQ
Comments (2)
Thank you very much for introducing a lovely realistic black woman model to ZiT.
I thought this LoRA was great and fully consistent in multiple settings - probably the best I've tested, but she looked noticeably fuller in the face in close up portraiture - but only in this kind of framing. Could this be to do with the latent image aspect ratio? P.S. How did you make her?





