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license: creativeml-openrail-m |
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# Okingjo's Single-identifier LORAs |
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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. |
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Not only will the LORA model will be post here, training setups and tips will also be shared. |
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I`m still in the state of learning, so any comments/feedbacks are welcom! |
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## Characters from Genshin Impact |
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### Sangonomiya-Kokomi / 珊瑚宫心海 |
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#### Brief intro |
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LORA of Sangonomiya Kokomi, with her default costume in game. |
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civitAI page [download](https://civitai.com/models/9186/sangonomiya-kokomi) |
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#### Training dataset |
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149 images of Kokomi: |
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* 4 nude illustrations, to ensure the AI knows that the costume is removable |
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* 85 normal illustrations of Kokomi, multiple angle, style and composition |
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* 30 nude 360 degree snapshot of Kokomi's 3D model |
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* 30 normal 360 degree snapshot of Kokomi's 3D model |
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Since only one costume is included, all 149 images are placed inside one folder. |
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#### Captioning |
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WD14 captioning instead of the danbooru caption was used, since the former one will not crop/resize the images. |
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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. |
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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. |
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#### Training setup |
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Trained with Kohya_SS stable diffusion trainer |
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Base model was [Anything V3.0 full](https://huggingface.co/Linaqruf/anything-v3.0/blob/main/anything-v3-fp32-pruned.safetensors) |
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Trainig process consist of two phases. The first one with default parameters of: |
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* learning_rate: 0.0001 |
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* text_encoder_lr: 5e-5 |
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* unet_lr: 0.0001 |
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20 repeats, and 5 epoch |
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Then, for phase2, all three learning rate were decreased to 1/10, and trained with another 5 epochs. |
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#### results |
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V1.0 samples |
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![sample1](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/de263a36-166d-45b4-5d8c-9bd4e310af00/width=800) |
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![sample2](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4daf18ca-a61a-43f2-0415-1f46cc002100/width=800) |
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![sample3](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb171f84-67a7-4da2-ced2-36c3cfab8f00/width=800) |
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## Characters from Honkai Impact 3rd |
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### Raiden Mei adult ver / 雷电芽衣 |
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#### Brief intro |
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LORA of the adult Raiden Mei from Honkai Impact 3rd, Post-Honkai Odyssey, with her default costume in game. |
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civitAI page [download](https://civitai.com/models/13023/raiden-mei-adult-ver) |
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#### Training dataset |
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96 images of Raiden Mei: |
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* 36 illustrations. both SFW and NSFW, 3 of them are with other costumes. |
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* 30 360degree 3D model snapshots for accuracy. |
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* 30 360degree 3D model nude snapshot to ensure the costume is removable/replacable. |
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Since only one costume is included, all 96 images are placed inside one folder. |
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#### 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 "raiden mei" 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. |
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#### Training setup |
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Trained with Kohya_SS stable diffusion trainer |
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Base model was [Anything V3.0 full](https://huggingface.co/Linaqruf/anything-v3.0/blob/main/anything-v3-fp32-pruned.safetensors) |
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Trainig process consist of two phases. The first one with default parameters of: |
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* learning_rate: 0.0001 |
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* text_encoder_lr: 5e-5 |
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* unet_lr: 0.0001 |
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20 repeats, and 3 epoch |
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Then, for phase2, all three learning rate were decreased to 1/10, and trained with another 8 epochs. |
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#### results |
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V1.0 samples |
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![sample1](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/61d46874-b53e-46bf-0adb-b60448aa6400/width=800) |
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![sample2](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ac518ae5-bccc-4361-79d9-0e7a4b8b1200/width=800) |
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