Koji
Kojis goal are easy to archive high quality anime images. Model is trained on hassaku.
My Discord, for everything related to anime models.
Sponsors:
Mage.space with its amazing creators program supports all kinds of creators like me! Preinstalled with 80+ high quality models, hundreds of loras and a new animation feature, join their discord community here!
SinkIn.ai hosts the best Stable Diffusion models on fast GPUs. You can run Hassaku at: https://sinkin.ai/m/76EmEaz
Supporters:
Thanks to my supporter Riyu and SETI on my patreon!
You can support me on my patreon, where you can get other models of me and early access to model versions.
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Using the model:
Use mostly danbooru tags. No extra vae needed. For better promting on it, use this LINK or LINK. But instead of {}, use (), stable-diffusion-webui use (). Use "masterpiece" and "best quality" in positive, "worst quality" and "low quality" in negative.
My negative ones are: (low quality, worst quality:1.4) with extra monochrome, signature, text or logo when needed.
Use clip skip 2 with sampler DPM++ 2M Karras or DDIM.
Don't use face restore and underscores _, type red eyes and not red_eyes.
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Every LoRA that is build to function on anyV3 or orangeMixes, works on koji too. Some can be found here, here or on civit by lottalewds, Trauter, Your_computer, ekune or lykon.
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Base model for koji is hassaku.
Black result fix (vae bug in web ui): Use --no-half-vae in your command line arguments
I use a Eta noise seed delta of 31337 or 0, with a clip skip of 2 for the example images. Model quality mostly proved with sampler DDIM and DPM++ SDE Karras. I love DDIM the most (because it is the fastest for model testing).