Fiz-Rot - LyCORIS LoCon - Illustrious

The NoobAI version is the version I tested the most, but is mostly a result of an error on my part. Both versions have their merit but I would probably recommend the base illustrious version due to wider compatibility.

General usage Notes:

For more specific issues check the "about this version" section of the specific model.

Thus far my most successful permanent positive/negative combo is:

masterpiece, best quality, good quality

lowres, worst quality, low quality, oldest, jpeg artifacts, blurred, artist name, signature

This likely changes depending on settings and merges, but I've not needed to modify them.

Strength depends on merge lora compatibility and what you're trying to do, generally:

If you're using it alone on a highly compatible model or base then I recommend .8-1

If using with artist tags I recommend .4-.8, but this is to your discretion

If using on stricter merges I would recommend not going over .7-.8

General Workflow for Sample Images (on ComfyUI):

Sampler from images is done with Restarts with segments of [3,2,0.06,0.30], which are values from the paper on Restarts

Note: Using restarts tends to smooth out the image more but makes it more coherent, your mileage may vary and it's up to you if you want to use them

No special scheduler is used

Conditioning is split (A1111 BREAK) into 3 parts, generally BG and camera/Subject Face and attributes/Subject body and clothing

Initial resolution is selected from the SDXL whitepaper appendix I: https://arxiv.org/pdf/2307.01952

Image is upscaled by 1.5x using Lanczos resampling

Second sample pass is the same, but at around 15 steps at .3 denoise

A facedetailer is used after the upscale