mutsuki/睦月/睦月 (Azur Lane)

NOTE: ALL CHARACTERS IN THE IMAGES ARE ADULTS.

How to Use This Model

USE THEM SIMULTANEOUSLY. In this case, you need to download both mutsuki_azurlane.pt and
mutsuki_azurlane.safetensors, then use mutsuki_azurlane.pt as texture inversion embedding, and use
mutsuki_azurlane.safetensors as LoRA at the same time.

それらを同時に使用してください。この場合、mutsuki_azurlane.ptとmutsuki_azurlane.safetensorsの両方をダウンロード
する必要があります。mutsuki_azurlane.ptをテクスチャ反転埋め込みとして使用し、同時にmutsuki_azurlane.safetensorsをLoRAとして使用してください。

同时使用它们。在这种情况下，您需要下载mutsuki_azurlane.pt和mutsuki_azurlane.safetensors这两个文件，然后将mutsuki_azurlane.pt用作纹理反转嵌入，
同时使用mutsuki_azurlane.safetensors作为LoRA。

(Translated with ChatGPT)

The trigger word is mutsuki_azurlane, and the recommended tags are masterpiece, best quality, highres, solo, {mutsuki_azurlane:1.10}, animal_ears, brown_hair, cat_ears, green_eyes, open_mouth, hat, short_hair, twintails, short_twintails, ribbon, school_hat, tail, yellow_headwear, cat_tail, blush, smile, animal_ear_fluff, low_twintails, fang, candy, food, cat_girl, lollipop.

How This Model Is Trained

This model is trained with HCP-Diffusion.
And the auto-training framework is maintained by DeepGHS Team.

Why Some Preview Images Not Look Like Mutsuki Azurlane

All the prompt texts used on the preview images (which can be viewed by clicking on the images)
are automatically generated using clustering algorithms based on feature information extracted from the
training dataset. The seed used during image generation is also randomly generated, and the images have
not undergone any selection or modification. As a result, there is a possibility of the mentioned
issues occurring.

In practice, based on our internal testing, most models that experience such issues perform better in
actual usage than what is seen in the preview images. The only thing you may need to do is fine-tune
the tags you use.

I Felt This Model May Be Overfitting or Underfitting, What Shall I Do

Our model has been published on huggingface repository – CyberHarem/mutsuki_azurlane, where
models of all the steps are saved. Also, we published the training dataset on
huggingface dataset – CyberHarem/mutsuki_azurlane, which may be helpful to you.

Why Not Just Using The Better-Selected Images

Our model’s entire process, from data crawling, training, to generating preview images and publishing,
is 100% automated without any human intervention. It’s an interesting experiment conducted by our team,
and for this purpose, we have developed a complete set of software infrastructure, including data filtering,
automatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or
suggestions as they are highly valuable to us.