LyCORIS model of Tohsaka Rin (Fate Stay Night [UFOTABLE])

What Is This?

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?

Which Step Should I Use?

Anything Else?

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 LyCORIS, 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

• Steps From 7750 to 10000
• Steps From 5250 to 7500
• Steps From 2750 to 5000
• Steps From 250 to 2500