This is a finetune model based on grapefruit checkpoint.

I used around 1k images from gelbooru by artist Muririn and Kobuichi for finetuning. Initially, I wanted to just train a Lora or standard dreambooth, but neither really achieve anything even remotely useful. If anyone have tips for finetune SD models, I am all ears.

About the examples:

The first one (hot spring one) was created with simple prompts, I selected this one because it also genereated text windows just like a galgame. But this can be negated with negative prompts.

The second one (Ningguang) used this Lora. I tested a little bit, for all loras I tested, the image will be over saturated if I don't lower the lora weight. I simply dialed the weight down to 0.5. Maybe there are better solutions.

The third one used the same prompt with grapefruit intro image.

I didn't really play around with the parameters to explore further. These are just some random samples that look okay-ish. Overall, I found the finetune model is more susceptible to distorted images such as missing limbs (hot spring example). I assume some merging with more stable models or more prompts are needed to mitigate these issues.

Lastly, trigger words yuzu$style is not a must, but it does emphasize the style a little more.