Experimental

Long story: https://civitai.com/articles/23172

DMD2

Update DMD2: Merge of the DMD2 fast LoRA, it alter a bit the style but is nice nonetheless (switch to lower CFG, around 1.2, and 6 to 8 steps, including for Hires.fix and Adetailer)

New Mecha

I have too many models and PostBan was my attempt at creating something new... but i was not satisfied.

• HoJ is my prefered style, but it is too messy.

• AnBan is nice but too flat.

• Both of them aren't getting me satisfied anymore.

That's when i did some tests with PleasureChest by @Ereijtic, together with the UniversalCLIP by @Felldude : by integrating them with my earliest version of HoJ, i was getting something that really like. But the result was broken. Eyes and hands were unusable, i clearly f**ked up something during the merge. That's why, i thought this could be good opportunity to try sd-mecha. By leveraging this tool, i was able to ensure my merge is consistent and i can share the recipe.

With the additional help of Indexed by @epiTune and Artistrious by @Jedas , i feel like i got exactly where i wanted to land (or at least i think so. Before i try to do a V2 and get frustrated again :D)

New Mecha will be my new main model going forward. No further versions will be made for AnBan, HoJ, PostBan or other miscellaneous models.

Here is the sd-mecha recipe:

import sd_mecha as sdm
sdm.set_log_level()

clip_uni = sdm.model("clip\\UniversalCLIPbase.safetensors", config="sdxl-sgm")
clip_v2 = sdm.model("clip\\illus2-clip.safetensors", config="sdxl-sgm")
recipe_clip = sdm.slerp(clip_uni, clip_v2)

recipe_base = (
  sdm.pick_component(sdm.model("illustrious\\pleasurechest_v1.safetensors"), "diffuser") |
  sdm.pick_component(sdm.model("vae\\sdxl_vae_extract.safetensors", config="sdxl-sgm"), "vae") | 
  recipe_clip
)

models = [
  sdm.model("hoj40c.safetensors"),
  sdm.model("shinv3.safetensors"),
  sdm.model("illustrious\\indexed_v1.safetensors"),
  sdm.model("illustrious\\artistrious_v10.safetensors"),
]

recipe_dare = sdm.ties_with_dare(recipe_base,*models,probability=0.6,seed=42,alpha=0.5)

lora = sdm.convert(sdm.model("..\\Lora\\000000\\HoJ4PC.safetensors"), recipe_dare)
recipe_lora = sdm.add_difference(recipe_dare, lora, alpha=0.3)

sdm.merge(recipe_lora, output="NewMecha.safetensors")

Some notes if you want to follow along:

• UniversalCLIPbase.safetensors is the merge of CLIP-L and CLIP-G from the link above, with the keys renamed to fit the SDXL expected naming convention (i ended merging it in a very small quantity, together with the Illustrious V2 CLIP)

• sdxl_vae_extract.safetensors is the SDXL "FP16 fix" VAE, with the added first_stage_model prefix before the keys for the same reason as above

• HoJ4PC.safetensors is an un-released LoRA i made by substracting HoJ by PleasureChest.

This is a messy recipe, my first attempt at using sd-mecha with almost no documentation (i found this doc in an other branch... but it's a little light :D)

Regarding usage... well, i think it is un-needed to provide any pointers. Because basically, use the checkpoint as you would any other Illustrious model usually and it should work :D

My usual go-to for local gen is either Euler A or DPM++ 2M SDE Heun and SGM Uniform, 20 or 40 steps depending on the amount of details i want, CFG 4 or 7 depending of the freedom i want to give to the model.

Two grid are available in the showcases pictures for demo.

You don't really need "quality tags", add the one you like. Sometimes, i just add IllusP0s, SmoothPos or dfPos. I made a "MechaP0s" using this model CLIP since it differs from traditional Illustrious a bit.

For negative prompt, i usually leverage IllusN3g, but hey, you can go crazy with your usual neg if you want :D

Adetailer is also a good help, but whatever facefix tool you like is fine.

Enjoy! (if you do a merge, a small link to here is appreciated.)

Disclaimer: This model was posted on Civitai ONLY. If you find this model elsewhere, know that it was not posted by me (but really i don't care anymore, just be aware that commercial use of this model is FORBIDDEN).