Krekkov - LyCORIS LoCon - PonyDiffusionXLV6版本6 - 000049 (ID: 690007)

LoCon trained on Krekkov's artstyle for ponydiff: https://civitai.com/models/257749

Artist: https://x.com/krekkov | https://www.pixiv.net/users/69447461

Because of my lack of experience and time, the version number may be based on changes that have made certain aspects worse. As such a previous version may perform better than a later version.

I'm still learning the ins and outs of the model and LoRA training in general, please leave reproducible feedback or tips so that I may improve over time.

Check the "About this version" section for any quirks or pitfalls I'm aware of or have experienced.

Some Q's:

• What's your workflow?

  • The scheduler used is Align Your Steps

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

  • Perturbed Attention Guidance is used for the initial image

  • Upscaler is usually 4x_fatal_Anime_500000_G or 4x_NMKD-Siax_200k

  • Second sample pass is the same as the first (params are on civit's meta interface) but at ~.35-.45 denoise and using the Karras scheduler

  • A facedetailer is used

  • I use ComfyUI, sorry

• What strength should I be using?

  • Base Pony: ~.7 - 1, much more accurate adherence to style but more volatile

  • Autismmix: ~.8 - 1

  • Other Pony merges: Depends on the model and its lora compatability, I've noticed some models have really bad compat and lead to serious artifacting. This could just be that I'm bad but I notice it on other people's trainings as well so it might be a merge issue.

• Sample images Model?

  • All images are Autismmix_confetti

• What does your filename structure mean?

  • It's split into 4 parts of [XX]-MAnon-[YYYY]-[ZZZZZZ]

    • [XX] - Artist initials

    • MAnon - My moniker

    • [YYYY] - SD version and Model version (Ex. XLV4.1 is on SDXL [Not 1.5] and it's version 4.1 of the model)

    • [ZZZZZZ] - The epochs, only useful to me

描述:

Initial version

Eye definition problems, "white pupils" in neg can lower pupil shine issues

Facedetailers have trouble detecting faces when they are looking back

Flat chested women tend to look androgynous

Rarely adds pseudotext when steam tag is used, "english text, text, dialogue" in negative usually fixes this

Exponential muscle growth, if using muscle definition tags use lower weight than usual

训练词语: