Edit(12/4/2024):

Emm just don't use the LoRA w/t LayerDiffusion if you want better results

And I can't really tell the difference between epoch 9 and epoch 10

If you ask me I prefer epoch 9

Edit(10/4/2024):

Added ver. 2.4

The prompt used in training has changed a bit

You may refer to the prompt used in samples

Ext: LayerDiffusion is quite useful for testing, but seems like it would affect details a bit

Adetailer

can produce a better quality of face(eyes especially, the eyes look more similar to "spirit pupils" appear in Date A Live works)

LoRAs recommend to use together

You may also use with Add More Details LoRA by Lykon to create background with more details
Here are some recommend prompts for background: scenery, day, daytime, street, background_sky
So just describe the background you would like Origami to appear at as you like :)

Generation Settings

• Width: 512

• Height: 768

• Sampling Method: Eular a or DPM++ 2M Karras

• Sampling steps: 20-40

• Hires.fix settings: Upscaler: R-ESRGAN 4x+ Anime6B, Hires Steps: 20, Denoising Str 0.4 - 0.55, Upscale: 2

• Clip Skip: 2

ADtailer Settings

• Use face_yolov8s for face fix
  Threshold ,Denoising strength set to 0.55

Trigger Words: tobiichi origami angel

Suggested prompts to be used with trigger words:

1girl, bangs, bare shoulders, blue eyes, breasts, center opening cleavage, crown, detached sleeves, elbow gloves, hair between eyes, looking at viewer, medium breasts, portrait, short hair, simple background, sky, small breasts, smile, solo, white bow, white bowtie, white dress, white footwear, white gloves, white hair, white thighhighs, white veil

Trained on animefull-latest.ckpt

Recommended Wright:0.8-1

The training data includes other epochs that are not published(cause the other epochs might have problems in reproduce the details of training dataset, either missing or wrong)
Difference between 000002 and 000004 are the training steps and epochs

Feel free to try out 000004 as well(it has similar performance to 000002 according to my observations)