Hassaku MOSS

作者：Ikena

Hassaku MOSS The model was trained on a small but dense dataset of 120k images, it still produces realistic-looking results, especially when no characters are involved or the prompt uses natural language. Adding “nose” as a negative tag helps. This is a test to see if MOSS can be trained at all (it can be trained). Look at About this version for more details -> Join my Discord for everything related to anime models and AI art. If you’d like to support my work, you can do so on SubscribeStar Images for training captioned by my own captioner

Supporters Special thanks to my supporters: Estryark, SETI, Kodokuna and dataset captioners mariotheknight and tamashiicolle Recommended Resolutions for MOSS Here are some resolution suggestions:

• 1536 × 640

• 1344 × 768

• 1216 × 832

• 1152 × 896

• 1024 × 1024

• 896 × 1152

• 832 × 1216 — most recommended

• 768 × 1344

• 640 × 1536

Larger resolutions are possible. Note: It is a Diffusion Transformer (DiT) model, it is less restrictive on sizes in compare to a Unet like Illustrious, you can use bigger resolutions.

Steps： 30–50 CFG Scale： 3-5

Negative: worst quality, watermark, jpeg artifact, blurryAdd "nose", if needed