I advise grabbing this file - this is version 2.2, one that I use daily.

To make the previews fair I applied no editing, no inpainting or such techniques.

All the images have metadata.

There might be more previews on the civitai page, since it's easier to upload them there.

This is a big ass file, open it and look at the holos. Stare at them.

TL;DR WHAT I TRIED TO ACHIEVE: A midpoint between being able to generate stunning scenery (dpep) and just cute anime girls (Anything) with some other models mixed in - to help improve other aspects.

It's a model, made by mixing other models, the base were Anythingv4.5 and dpep-chillout mix. I've made many mixes before and I've applied the knowledge I've gotten from that here - a lot of BW merging was applied.

I feel like this mix is good enough to contend with the most popular ones, and it's the one I use currently, for all my purposes.

It can do SFW, NSFW, thanks to closer to death's dpep it has the capability for interesting backgrounds and I've merged in a VTuber model - all of Hololive can be prompted for. But I think the images speak for itself better than I can.

detailed background, masterpiece, best quality, prompty promptu
Negative prompt: (low quality, worst quality:1.4), (bad anatomy), extra digit, fewer digits, (extra arms:1.2), bad hands, by (bad-artist:0.6), bad-image-v2-39000
Steps: 25, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 1189140555, Size: 512x768, Clip skip: 2, ENSD: 31337, Discard penultimate sigma: True

This is with kl-f8-anime2 vae, probably use higher cfg if trying with the anything or whatever vae, hell, mess around.

I also sometimes use 22ish cfg with the dynamic thresholding extension:

The darkKukiv1.safetensors LoRA included in the repo is my first version of a noise offset LoRA specifically for this model.

I'm working on improved version as well, but this one isn't bad by any means.

What it does is it makes the model able to output a wider range of lighting, example:

That's with the lora at 0.6 strength and the positive prompt:

This is an another source of noise offset so if that's an issue, disable the darkness LoRA.

And just read the readme of the LoRA.

Your best bet is this https://rentry.org/TohoAIFAQ

I'm trying to slowly fill it out.

Recipe for V2, V1 was similar but also included a gape merge at the end.

BW merge anything-v4.5-pruned.safetensors and dpep3-chillout.safetensors = temp1 at 1,0.9,0.7,0.5,0.3,0.1,0.4,0.4,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

temp1 and Cocoa = temp2 at 0.15,0.15,0.15,0.15,0.15,0.31,0.3,0.3,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15

temp2 and Tea = temp3 at 0.35,0,0,0,0,0,0.1,0.1,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0.35,0.35,0.35,0.35

temp3 and 7th_anime_v3_A = Kukiv2 at 0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.4,0.4,0.4

Add diff merge of Kukiv2 + (merge of hll1 and hll3.1 at like 0.4 ratio (more of hll1) I think) - animefull-final-pruned = HoloKukiv2

Recipe is quite similar but there's differences:

Anything4.5 + SE_V2 B = temp1

temp1 + naifull - naisfw * 0.25 = temp2

chilloutmix_NiPrunedFp32Fix + detailedprojectv4-fin = separatetemp1

temp2 + separatetemp1 = temp3

temp3 + Cocoa = temp4

temp4 + Tea = temp5

temp5 + 7th_anime_v3_B = temp6

Add diff merge of temp6 + (merge of hll1 and hll3.1 at like 0.4 ratio (more of hll1) I think) - animefull-final-pruned = HoloKukiv2.2

License

You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material, as long as you freely share the changes

Under the following terms:

You cannot use the model to deliberately produce nor share illegal or harmful outputs or content
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
You may not use the material for commercial purposes, whether it be as a service, sold as is or merged into other material.
If you grant access to a modified version of the model available to users over a network, you must make your modified model available to those users immediately.

You should also check out their models!