Kirazuri (Anima) is a full fine-tune of the Anima Base v1.0 model by CircleStone Labs focused on several goals:
Learn new concepts/styles/characters past the base model dataset cutoff of 2025 September
Enhance the model aesthetic guided by manually applied quality, aesthetic, and style tagging
Improve rendering and understanding of fine-details through high-resolution training for 1024^2, 1280^2, and 1536^2 resolutions
Version 4.0 (Latest)
For in-depth details of training and tooling, see:
Kirazuri (Anima) 4.0 Training Diary
https://github.com/motimalu/diffusion-training-configs/blob/main/diffusion-pipe/anima/notes/kirazuri4.0-notes%20.md
Generation Settings
Trained in mixed resolutions for the majority of training, and finished with dedicated high resolution training.
Previews are generated mostly at 1280^2 e.g. 1520x1040 or 1536^2 e.g. 1248x1824 resolutions.
30-50 steps, CFG 4-5.
Same samplers as recommended for the base model work, I like to use:
er_sde: the recommended default for 30-50 steps.
sa_solver_pece: can converge with good detail in 15-20 steps.
