LoRA model of Tohsaka Rin (Fate Stay Night [UFOTABLE])
What Is This?
This is the LoRA model of waifu Tohsaka Rin (Fate Stay Night [UFOTABLE]).
How Is It Trained?
- This model is trained with HCP-Diffusion.
- The auto-training framework is maintained by DeepGHS Team.
- The base model used for training is deepghs/animefull-latest. The architecture is
SD1.5
. - Dataset used for training is the
stage3-p480-800
in CyberHarem/tohsaka_rin_fatestaynightufotable, which contains 1381 images. - The images in the dataset is auto-cropped from anime videos, more images for other waifus in the same anime can be found in BangumiBase/fatestaynightufotable
- Batch size is 4, resolution is 720x720, clustering into 5 buckets.
- Batch size for regularization dataset is 1, resolution is 720x720, clustering into 10 buckets.
- Trained for 10000 steps, 40 checkpoints were saved and evaluated.
- Trigger word is
tohsaka_rin_fatestaynightufotable
. - Pruned core tags for this waifu are
long_hair, black_hair, two_side_up, ribbon, hair_ribbon, blue_eyes, brown_hair
. You can add them to the prompt when some features of waifu (e.g. hair color) are not stable.
How to Use It?
After downloading the safetensors files for the specified step, you need to use them like common LoRA.
For example, if you want to use the model from step 9750, you need to download 9750/tohsaka_rin_fatestaynightufotable.safetensors
as LoRA. By using this LoRA model, you can generate images for the desired characters.
Which Step Should I Use?
We selected 5 good steps for you to choose. The best one is step 9750.
2320 images (2.16 GiB) were generated for auto-testing.
The base model used for generating preview images is Meina/MeinaMix_V11.
Here are the preview of the recommended steps:
Step | Epoch | CCIP | AI Corrupt | Bikini Plus | Score | Download | pattern_0 | pattern_1 | pattern_2 | pattern_3_0 | pattern_3_1 | pattern_4_0 | pattern_4_1 | pattern_5_0 | pattern_5_1 | pattern_6_0 | pattern_6_1 | pattern_6_2 | pattern_7 | pattern_8_0 | pattern_8_1 | pattern_9_0 | pattern_9_1 | pattern_10 | pattern_11 | pattern_12 | pattern_13 | pattern_14_0 | pattern_14_1 | portrait_0 | portrait_1 | portrait_2 | full_body_0 | full_body_1 | profile_0 | profile_1 | free_0 | free_1 | shorts | maid_0 | maid_1 | miko | yukata | suit | china | bikini_0 | bikini_1 | bikini_2 | sit | squat | kneel | jump | crossed_arms | angry | smile | cry | grin | n_lie_0 | n_lie_1 | n_stand_0 | n_stand_1 | n_stand_2 | n_sex_0 | n_sex_1 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9750 | 29 | 0.933 | 0.916 | 0.842 | 0.803 | Download | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3500 | 11 | 0.923 | 0.960 | 0.858 | 0.801 | Download | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3250 | 10 | 0.920 | 0.950 | 0.848 | 0.782 | Download | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
5750 | 17 | 0.924 | 0.951 | 0.839 | 0.777 | Download | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3000 | 9 | 0.905 | 0.933 | 0.844 | 0.740 | Download |
Anything Else?
Because the automation of LoRA training always annoys some people. So for the following groups, it is not recommended to use this model and we express regret:
- Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.
- Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.
- Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.
- Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.
- Individuals who finds the generated image content offensive to their values.
All Steps
We uploaded the files in all steps. you can check the images, metrics and download them in the following links: