Remember to use the trigger word parksooyoung. Use LORA weight 1 and Hires fix with latent bicubic antialiased, 20 steps, 0.5 denoising strength, and 1.25x upscale. (I've also been liking high cfg, e.g. cfg 15, with dynamic thresholding, though this definitely needs face inpainting.) I've used ChilloutMix and VisionGen to generate images.
Description
Trained completely differently compared to my last two LORAs. Different training settings, much bigger dataset, and a little sauce. All this work, yet I'm not sure it's much more flexible or accurate than how I previously did it, for example, it really likes the side view/looking back despite cutting down on those pics in the dataset. As per usual, inpainting and ControlNet should help a lot.
Details
Downloads
2,235
Platform
CivitAI
Platform Status
Deleted
Created
3/24/2023
Updated
8/9/2025
Deleted
8/7/2025
Trigger Words:
parksooyoung
Files
joyOTW_v1.safetensors
Mirrors
CivitAI (1 mirrors)