Recommended Prompts

masterpiece,best quality,high quality,absurdres,hungry clicker,cutesexyrobutts,realistic,photorealistic,photo (medium),3d,cgi,2d,traditional media,screencap

1girl, masterpiece, best quality

Recommended Negative Prompts

worst quality,low quality,normal quality,lowres

worst quality

Recommended Parameters

samplers

Euler Ancestral Normal, Euler Ancestral Karras, Euler a

steps

30 - 38

cfg

4 - 7

Recommended Hires (High-Resolution) Parameters

upscaler

4x Foolhardy Remacri, 4x FaceUp DAT

upscale

4

Tips

Lower CFG values (4.0 to 5.0) tend to give better results with Euler Ancestral samplers.

Avoid reusing DPO or SPO Lora models on top of this checkpoint as they are already injected.

Use negative quality tags in the negative prompt to improve accuracy of named artist styles.

The 'screencap' tag is now an independent control for the default style separate from quality tags.

Version Highlights

Retrained from scratch against base Illustrious. The default screencap style is now associated not only with quality tags but also with a unique screencap tag that can be independently used in the positive or negative prompt. Many other refinements to overall dataset captioning for existing data have also been made, and around 1000 images worth of entirely new data has also been added. "Red shift" problem also dealt with as I talked about in the comments.

VAE is baked in.

V2.0 specific notes:

See "About This Version" for more details, but I'll note here V2 is NOT a continuation of or in any way related to V1, rather I retrained everything from scratch against base Illustrious to make V2.

V2 is also happier with a broader CFG range than V1, anything from 4.5 up to about 7.0 can give good results depending on the particular prompt and what exactly you're going for.

Lastly, here is an unordered list of tags (apart from screencap, which as I said it would be is now an independent-from-quality-tags additional control for the default style) that can be useful in any combination for generalist "style tweaking", in the positive or negative prompt:

realistic, photorealistic, photo \(medium\), 3d, cgi, 2d, traditional media

All other advice WRT prompting is the same as for V1, as in the general notes below, including all the info about balancing artists tags if using them with quality tags.

General Notes:

This is Illustrious XL 0.1 "Raw" with the following changes:

  • further trained on an additional dataset of 2000+ hand-selected and well-captioned images for roughly 80 epochs or so, as of V1

  • DPO Lora injected @ 0.25 strength

  • SPO Lora injected @ 0.75 strength

This checkpoint aims to make the default output style of the model more consistently clean and coherent based on standard anime model quality tags (e.g. masterpiece, best quality, high quality, absurdres and so on), without actively degrading or "erasing" any of the base knowledge of Illustrious.

Lower CFG tends to give better results, I recommend anywhere from 4.0 to 5.0ish with Euler Ancestral Normal or sometimes Euler Ancestral Karras.

If you're choosing to use named artist tags such as e.g. hungry clicker or cutesexyrobutts in your positive prompt, using negative quality tags along with them in the negative prompt (such as e.g. worst quality, low quality, normal quality, lowres) is generally still beneficial and tends to improve the accuracy of any given named style, however you don't necessarily always need (or want) to still use positive quality tags at the same time as named artist ones.

Do not use the DPO or SPO loras again on top of this checkpoint, they are both already injected at carefully chosen strengths, running them again on top will almost certainly make your outputs worse.

For "hi-res-fix" upscaling with this checkpoint, I personally recommend using either 4x Foolhardy Remacri or 4x FaceUp DAT as the upscale model.

Contributor

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Model Details

Model type

Checkpoint

Base model

Illustrious

Model version

v2.0

Model hash

dd16573ceb

Discussion

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Model Collection - Zootlustrious [Aesthetic Illustrious XL Refinement]