This is a brand new training using the original data set from 1.0, but resolution set at 768x768. Trained the original data set at 9,000 steps, then trained full body at another 2,100 steps. Standard portraits at 512x512 and 512x768 will generate a lot of close up shots. Note the resolutions below for more interesting full body shots. You will likely still have to inpaint the face at a distance, but it should be improved from version 1.0.

Please note that the 'trigger' word has changed for this version - it is now: "laurenboebert woman".

Sample pictures generated with the base SD 1.5 model.

Try with the following resolutions:

• 512x512

• 512x768

• 448x1024

• 512x1088

• 384x1216

Training Data:

Used bmaltais's implementation of kohya_ss LoRA training scripts.

Total Images: 15 total high resolution images: six full body, four head shots, five chest-up

Regularization Images: 300 total "sexy woman" regularization images from ProGamerGov's dataset at huggingface.

Trigger word: laurenboebert woman

Training Steps: 11,000

Unet Training Rate: 5e-05 (0.00005)

Text Encoder Training Rate: 5.0e-05 (0.00005)