Kohaku-XL beta版本beta7 (ID: 192804)

Kohaku-XL beta版本beta7 (ID: 192804)

Kohaku XL beta

An anime SDXL model trained on 1.5M images.

Notice: Further experiments have showed that beta7 is generally better than beta7pro. Beta7pro have some mosaic artifact (more significant than beta7) and beta7 have better txt-img alignment. So I rearrange the order of models.


Introduction

This model is resumed from [Kohaku-XL alpha](Kohaku-XL alpha - nyan | Stable Diffusion Checkpoint | Civitai) with 1.5M images and then merged with other models.


Usage Details

This model is very flexible on resolution, you can use the resolution you used in sd1.x/2.x to get normal result(like 512x768), you can also use the resolution that is more native for sdxl(like 896*1280) or even bigger (1024x1536 also ok for t2i).

recommended negative prompt for anime style:

  • photorealistic, 3d model, bad, worse, worst, ugly, bad anatomy, blurry, close-up, disembodied limb

  • photorealistic, text, icon, artist name, signature, twitter username, naked, nude, monochrome, blurry, bad anatomy, watercolor, oil painting

  • watercolor, oil painting, photo, deformed, realism, disfigured, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry


Training Details

Kohaku-XL beta5

This model is trained on new-danbooru (danbooru images with id from 5,000,000~6,600,000) which have 1.48M images.
This model is resumed from kohaku-xl alpha7 and then merged with NekoRayXL.

Kohaku-XL base4 (haven't publish yet)

This model is trained on new-danbooru (danbooru images with id from 5,000,000~6,600,000) which have 1.48M images.
Thie model is resumed from sdxl-0.9 (due to some bad property in sdxl-1.0 which will affect finetuning). In the plan this model will be trained with 2epoch (about 94.5k steps).

I haven't published this pretrained model yet.

Kohaku-XL beta7

This model is merged with base4 and beta 5, the formula is:

beta(5+n) = beta5 + (n/4) * (base4 - sdxl0.9)

So beta7 is beta5 + 0.5 * (base4 - sdxl0.9)

Kohaku-XL beta7.1(7pro)

as same as beta7 but use the finished base4 and 0.25 weight.

Note: the base4 here is the 50k step version!!

Future Plan

I will run training on base4(after it finish) in Mynefactory dataset or CyberMeow(alea31415)/Narugo1992's reg dataset.


Acknowledgements

Models

描述:

new danbooru (danbooru id 5,000,000~6,600,000) 1.5M images.
50k steps (32 batch size) from sdxl-0.9.
Merged from kohaku-xl beta5 (beta7 = beta5 + 0.5 * (new_dan - sdxl0.9))

训练词语:

名称: kohakuXLBeta_beta7.safetensors

大小 (KB): 6775436

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

名称: sdxl_vae.safetensors

大小 (KB): 326798

类型: VAE

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

Kohaku-XL beta

Kohaku-XL beta

Kohaku-XL beta

Kohaku-XL beta

Kohaku-XL beta

Kohaku-XL beta

Kohaku-XL beta

Kohaku-XL beta

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