license: creativeml-openrail-m
This repository contains several merged models using the provided merge.py
script on the repository.
Why?
The idea behind this is to test how different models specialized in different tasks or trained on different data and merged together with the exact same weight can improve the general model or not, so far multiple tests and comparisons seem to show that it does improve the general quality of the model while still still able to generate the same content the original model was good at without losing any data or losing so little that its not noticeable.
If this research is successful we might be able to just train a single main model with high resolution image such as Stable Diffusion and then train smaller models and then merge it to the main model and achieve the same quality as if a big fine tune was done on the main model from the start. This would allow us to train models that fit consumer cards on specific datasets for smaller tasks similar to Textual Inversion but being actually trained from scratch, meaning they would return a .ckpt
file that can be used by itself and teaches a model to do something specific instead of a .pt
embed file which depends on another model to run and just reuses what the model already now to be better at something.
The term we will be using around here to refer to the merged models is "Mega Model" as that is what we are trying to achieve, a single mega model.
A few things to keep in mind when browsing this model card and repository:
When possible every model used when doing the merge will be described on this model card.
The filenames for the models will be using short versions of the models in it for brevity.
Always assume that all models used in the Mega Model have the exact same weight even when this is not mentioned, unless specified all models will try to follow this rule of thumb as this is what ensured that little to no data is lost during the merge.
We try to not use models that are leaks and are only available openly, if you find any mode that do not follow this please let us know.
Community discussion on new models to add to the Merged Model are welcome.
Note: We do realize that the list of models used was mostly of NSFW models, this is because there is a lack of SFW models out there, if you have some SFW models please let us know so we can use them.
Mega Models List:
SD1.5-WD1.3-LD-Trinart-Merged.ckpt:
[Stable Diffusion v1.5](runwayml/stable-diffusion-v1-5 · Hugging Face)
Lewd Diffusion
SD1.5-WD1.3-LD-Trinart-HD-SF-r34-Trinart_Chars-Merged.ckpt:
[Stable Diffusion v1.5](runwayml/stable-diffusion-v1-5 · Hugging Face)
Lewd Diffusion
Hentai Diffusion
SmirkingFace
Rule 34
MM-27 Merged-pruned.ckpt:
Stable Diffusion v1.5
Stable Diffusion v1-5-Pruned-ema only
Waifu-Diffusion-v1-3 Full ema
Lewd Diffusion-70k-1e-pruned
Trinart Stable Diffusion -step115000
2b-10000-pruned-fp16
Anything-V3.0
App Icons V1 PublicPrompts
Arcane Vimod
Bea (Pokemon S) NSFW 14000-pruned-fp16
Belle Delphine Girl Cute Face v2 5k
berry_mix
BloodborneStyle-v1
bukkake_20_training_images_2020_max_training_steps_woman_class_word
Cafe Instagram Unofficial Test Epoch 9 140k Images fp32
cookie_sd_pony_run_a12_datasetv5_300k_imgs_fp16
DBWayneBarlowe_JM
dreambooth-bkdbj-4000step-pruned-fp16
easter_e5
Elden Ring v2 pruned
f222
Futa Cum r34
gape60.ckpt
Hentai-Diffusion-16
Hiten girl_anime_8k_wallpaper_4k
JWST-Deep-Space
MicroWorld_PublicPrompts
Midjourney v4
Mio Naganohara Waifu-Diffusion
MMD V1-18 MODEL MERGE (TONED DOWN) ALPHA
MMD V1-18 MODEL MERGE ALPHA
Modern Disney Diffusion v1-pruned
Pixel Landscapes V1 - 16-bit-landscape_PublicPrompts
Pyros BJ v1-0
r34_e4
Reverse cowgirl s4629674
Sam does Arts Style
samdoesarts_style
sd-wikiart-v2
SmirkingFace_EB_1.0_ema_vae
StudioGhibliV4
trinart_characters_it4_v1