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LoRA model of xiao/魈/魈 (Genshin Impact)

What Is This?

This is the LoRA model of waifu xiao/魈/魈 (Genshin Impact).

How Is It Trained?

  • This model is trained with kohya-ss/sd-scripts, and the test images are generated with a1111's webui and API sdk.
  • The auto-training framework is maintained by DeepGHS Team. The architecture of base model is is SD1.5.
  • Dataset used for training is the stage3-p480-1200 in CyberHarem/xiao_genshin, which contains 1238 images.
  • Trigger word is xiao_genshin.
  • Pruned core tags for this waifu are multicolored hair, green hair, yellow eyes, facial mark, black hair, tassel, ahoge, parted bangs. You can add them to the prompt when some features of waifu (e.g. hair color) are not stable.
  • For more details in training, you can take a look at training configuration file.
  • For more details in LoRA, you can download it, and read the metadata with a1111's webui.

How to Use It?

After downloading the safetensors files for the specified step, you need to use them like common LoRA.

  • Recommended LoRA weight is 0.5-0.85.
  • Recommended trigger word weight is 0.7-1.1.

For example, if you want to use the model from step 2028, you need to download 2028/xiao_genshin.safetensors as LoRA. By using this 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 2028.

1160 images (1.14 GiB) were generated for auto-testing.

Metrics Plot

Here are the preview of the recommended steps:

Step Epoch CCIP AI Corrupt Bikini Plus Score Download pattern_0 pattern_1_0 pattern_1_1 pattern_2_0 pattern_2_1 pattern_3 pattern_4 pattern_5 pattern_6_0 pattern_6_1 pattern_6_2 pattern_7_0 pattern_7_1 pattern_8_0 pattern_8_1 pattern_9_0 pattern_9_1 pattern_9_2 pattern_10_0 pattern_10_1 pattern_11 pattern_12 pattern_13_0 pattern_13_1 portrait_0 portrait_1 portrait_2 full_body_0 full_body_1 profile_0 profile_1 free_0 free_1 short shirt_0 shirt_1 uniform_0 uniform_1 uniform_2 suit_0 suit_1 jacket_0 jacket_1 swim_0 swim_1 swim_2 sit squat kneel jump crossed_arms angry smile cry grin n_stand_0 n_stand_1 n_stand_2
2028 12 0.999 0.979 0.815 0.700 Download pattern_0 pattern_1_0 pattern_1_1 pattern_2_0 pattern_2_1 pattern_3 pattern_4 pattern_5 pattern_6_0 pattern_6_1 pattern_6_2 pattern_7_0 pattern_7_1 pattern_8_0 pattern_8_1 pattern_9_0 pattern_9_1 pattern_9_2 pattern_10_0 pattern_10_1 pattern_11 pattern_12 pattern_13_0 pattern_13_1 portrait_0 portrait_1 portrait_2 full_body_0 full_body_1 profile_0 profile_1 free_0 free_1 short shirt_0 shirt_1 uniform_0 uniform_1 uniform_2 suit_0 suit_1 jacket_0 jacket_1 swim_0 swim_1 swim_2 sit squat kneel jump crossed_arms angry smile cry grin n_stand_0 n_stand_1 n_stand_2
3380 20 0.999 0.984 0.820 0.699 Download pattern_0 pattern_1_0 pattern_1_1 pattern_2_0 pattern_2_1 pattern_3 pattern_4 pattern_5 pattern_6_0 pattern_6_1 pattern_6_2 pattern_7_0 pattern_7_1 pattern_8_0 pattern_8_1 pattern_9_0 pattern_9_1 pattern_9_2 pattern_10_0 pattern_10_1 pattern_11 pattern_12 pattern_13_0 pattern_13_1 portrait_0 portrait_1 portrait_2 full_body_0 full_body_1 profile_0 profile_1 free_0 free_1 short shirt_0 shirt_1 uniform_0 uniform_1 uniform_2 suit_0 suit_1 jacket_0 jacket_1 swim_0 swim_1 swim_2 sit squat kneel jump crossed_arms angry smile cry grin n_stand_0 n_stand_1 n_stand_2
2197 13 0.999 0.983 0.814 0.697 Download pattern_0 pattern_1_0 pattern_1_1 pattern_2_0 pattern_2_1 pattern_3 pattern_4 pattern_5 pattern_6_0 pattern_6_1 pattern_6_2 pattern_7_0 pattern_7_1 pattern_8_0 pattern_8_1 pattern_9_0 pattern_9_1 pattern_9_2 pattern_10_0 pattern_10_1 pattern_11 pattern_12 pattern_13_0 pattern_13_1 portrait_0 portrait_1 portrait_2 full_body_0 full_body_1 profile_0 profile_1 free_0 free_1 short shirt_0 shirt_1 uniform_0 uniform_1 uniform_2 suit_0 suit_1 jacket_0 jacket_1 swim_0 swim_1 swim_2 sit squat kneel jump crossed_arms angry smile cry grin n_stand_0 n_stand_1 n_stand_2
2366 14 0.999 0.990 0.823 0.695 Download pattern_0 pattern_1_0 pattern_1_1 pattern_2_0 pattern_2_1 pattern_3 pattern_4 pattern_5 pattern_6_0 pattern_6_1 pattern_6_2 pattern_7_0 pattern_7_1 pattern_8_0 pattern_8_1 pattern_9_0 pattern_9_1 pattern_9_2 pattern_10_0 pattern_10_1 pattern_11 pattern_12 pattern_13_0 pattern_13_1 portrait_0 portrait_1 portrait_2 full_body_0 full_body_1 profile_0 profile_1 free_0 free_1 short shirt_0 shirt_1 uniform_0 uniform_1 uniform_2 suit_0 suit_1 jacket_0 jacket_1 swim_0 swim_1 swim_2 sit squat kneel jump crossed_arms angry smile cry grin n_stand_0 n_stand_1 n_stand_2
2873 17 0.999 0.976 0.814 0.694 Download pattern_0 pattern_1_0 pattern_1_1 pattern_2_0 pattern_2_1 pattern_3 pattern_4 pattern_5 pattern_6_0 pattern_6_1 pattern_6_2 pattern_7_0 pattern_7_1 pattern_8_0 pattern_8_1 pattern_9_0 pattern_9_1 pattern_9_2 pattern_10_0 pattern_10_1 pattern_11 pattern_12 pattern_13_0 pattern_13_1 portrait_0 portrait_1 portrait_2 full_body_0 full_body_1 profile_0 profile_1 free_0 free_1 short shirt_0 shirt_1 uniform_0 uniform_1 uniform_2 suit_0 suit_1 jacket_0 jacket_1 swim_0 swim_1 swim_2 sit squat kneel jump crossed_arms angry smile cry grin n_stand_0 n_stand_1 n_stand_2

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:

  1. Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.
  2. Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.
  3. Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.
  4. 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.
  5. 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:

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Dataset used to train CyberHarem/xiao_genshin