Ever noticed how hard was to train the 2.1 model and its derivates? It was because it had a heavily censored text encoder, which is the thing that makes pairs with images and roughly understands what's inside the pictures you provide to the model. Well, there are better and uncensored text encoders compatible with the 2.0-2.1 models on huggingface, and once you get the model you want to train on in diffusers format, you can competely change the single parts of the model. Now, that's what I have done with this model and I will keep working on it. I have trained the model on a large amount of women of any kind, using the waifu diffusion tagger, and by doing this the model captured the single features of each woman and mixed them together to get info for the celebrities that the encoder knows about but the unet is not trained on.Currently the model has low capability on NSFW stuff, but I will try to make it work next, until then you can have some acceptable depictions of celebrities, I very well know these photos aren't perfect but it is a huge step forward on the basic model. Ah, since it is not overfitting, it should be able to deal with other concepts, try yourself and, since it was smartly merged with Illuminutty you can try with their embeddings...

Hellcoder - (Trying to uncensor Stable Diffusion 2.1)

More training, it is supposed to have a larger dataset of celebrities in the UNeT, if anyone wants specific ones, please ask and I will train the next version for you.

hellcoderTryingToUncensor_alphaHellcoderV011.safetensors

Alpha_Hellcoder_V0.1.1

Alpha_Hellcoder_V_0-3

Alpha Hellcoder V0.1

Ahem, yes, the hash is the same as the other model, I'm not supposed to mention it, tho. This model is NOT perfect and will need more training, but has quite good nudity representations, works best with the tags of anime boards.I noticed that the dynamic thresholding works somewhat good with sexual acts but ruins the nudity.It is not trained on many sexual acts and they come up pretty bad because Colab disconnected before the end of training and I was training with constant scheduler.Seems to work nicely with euler A at high CFG and normal CFG of SDE M.

Files with SHA256: 0dc223634bffd14ec22559d36d34ef2cf05f66abb58bd58a47c0bd1297d9fd55