Kohaku-XL gamma

https://civitai.com/models/270291

Kohaku XL Gamma A SDXL anime base model aims to create unique artworks.

Not designed for reproducing copyright characters or artist style

Introduction This model can be seen as a derivative of Animagine XL 3.0 project. Basically I'm collaborating with Linaqruf for making better Anime base model (and it is obvious that we have different goal/target) We share our models and technique to improve our models' quality. And that is also how this model been created.

Base7 Kohaku-XL base7 is resumed from beta7 and use same dataset that beta series have used. But this time I use my own metadata system to create captions. (Can be taken as advanced version of what linaqruf used, will open source it soon)

The metadata database can be downloaded here: KBlueLeaf/danbooru2023-sqlite · Datasets at Hugging Face

Trainin details: LR: 8e-6/2e-6 Scheduler: constant with warmup Batch size: 128 (batch size 4 * grad acc 16 * gpu count 2)

Gamma rev1 Kohaku-XL Gamma rev1 is a merged model which combine the learned diff from anxl3 and kohaku xl base 7. With this forumla:

gamma rev1 = beta7 + 0.8 * (anxl3 - anxl2) + 0.5 * (base7 - beta7) Usage Parameter This model is trained under 768x1024 to 1024x1024 ARB. It is recommended to use pixel count within 786432 ~ 1310720. Recommended CFG scale is 4~7. Sampler should not matter.

Tagging This model use my own system for quality tags or something like that. So although this model combine the diff weight from anxl3, I will still recommend user to use mine (or both) tagging system.

This model is trained with artists' name as a tag so you can use artists tag as "stylize tag". But since my training config is not designed for learning style. I don't think you can actually reproduce the style of any specific artists. Just use artists tag as style refiner tag. For character tags, as same as artists. The model can accept character tags but I won't ensure its ability on reproducing any character.

The format of prompt is as same as anxl3. (You can check the sample images I post)

Rating tags:

General: safe

Sensitive: sensitive

Questionable: nsfw

Explicit: explicit, nsfw

Quality tags (Better to worse):

Masterpiece

best quality

great quality

good quality

normal quality

low quality

worst quality

Year tags (New to Old):

newest

recent

mid

early

old

You may meet some subtle mosaic-like artifact, that may be caused by high-lr or bad resizing/image encoding. I will try to fix it in next version. For now, try to use R-ESRGAN anime6b or SCUNet models for fixing it.

by kblueleaf