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README.md

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+# Okingjo's Single-identifier LORAs
+
+I will share most of my LORA model with single identifier here. by saying "single", only one charater with one costume are stored within the model. 
+Not only will the LORA model will be post here, training setups and tips will also be shared.
+I`m still in the state of learning, so any comments/feedbacks are welcom!
+
+
+## Characters from Genshin Impact
+
+### sangonomiya-kokomi / 珊瑚宫心海
+#### Brief intro
+LORA of Sangonomiya Kokomi, with her default costume in game.
+civitAI page [download](https://civitai.com/models/9186/sangonomiya-kokomi) 
+#### Training dataset
+149 images of Kokomi:
+* 4 nude illustrations, to ensure the AI knows that the costume is removable
+* 85 normal illustrations of Kokomi, multiple angle, style and composition
+* 30 nude 360 degree snapshot of Kokomi's 3D model
+* 30 normal 360 degree snapshot of Kokomi's 3D model
+Since only one costume is included, all 149 images are placed inside one folder.
+#### Captioning
+WD14 captioning instead of the danbooru caption was used, since the former one will not crop/resize the images.
+Threshold are usually set to 0.75-0.8. since I don't like to have a very long and sometimes inaccurate caption for my training data.
+After captionin is done, I added "sangonomiya kokomi" after "1girl" to every caption file generate as the triggering prompt. Some of the caption files were empty so I have to manually type the words. 
+#### Training setup
+Trained with Kohya_SS stable diffusion trainer
+Base model was [Anything V3.0 full](https://huggingface.co/Linaqruf/anything-v3.0/blob/main/anything-v3-fp32-pruned.safetensors) 
+Trainig process consist of two phases. The first one with default parameters of:
+* learning_rate: 0.0001
+* text_encoder_lr: 5e-5
+* unet_lr: 0.0001
+20 repeats, and 5 epoch
+Then, for phase2, all three learning rate were decreased to 1/10, and trained with another 5 epochs.
+
+#### results