Hassaku MOSS

Description

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 ->


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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, blurry

Add "nose", if needed