Model Introduction

Welcome to KiraDepth, a v-prediction model that aims to create a saturated 2.25/2.5D aesthetic.

This is a simple merge I made for myself to do two things:

1. Learn how to merge models, and

2. Create a style of model I enjoyed yet couldn't find a v-prediction equivalent.

Recommended Settings

This is a v-prediction model. If you don't know what that is or don't know how to setup your local environment to support v-prediction models, please read NoobAI-XL's original model page here or the guide posted by L_A_X here.

Parameters

These are the settings I typically use when generating. Experiment to see what works best for you.

• CFG Scale: 3-5

• Steps: 28-40

• Sampling Method: Euler or Euler A

• Sampling Scheduler: Normal or SGM Uniform

Prompts

These are the prompts I use throughout all the example images. Again, experiment to see what works for you.

• Positive: masterpiece, best quality, very aesthetic, good quality, newest, very awa, absurdres, highres

• Negative: worst quality, worst aesthetic, bad quality, normal quality, average quality, oldest, old, early, very displeasing, displeasing

Merge Recipes

Inside this dropbox contains the workflows for each version (minus some A/B txt2img testing). These images have a ComfyUI workflow embedded, so you should be able to import them directly into ComfyUI.

I'm continuously experimenting with new nodes and ideas to try to get the style I am looking for while hopefully not overcooking the model.

Note about v1.0 workflow: The node SDXL Preset Merger is a custom node I wrote (that I've since phased out) to emulate a similar functionality seen in supermerger's MBW preset. I have not published this nor do I have plans to.

Afterword

Thank you for checking out this model page. I am new to the scene of model creation and am pretty slow at figuring this stuff out.

This is simply a project I sought out for my own creation that I decided to share with the community.

If you have questions about my merging process or are willing to point me to resources/guide me in merging models, write a comment or DM me!