Joe Penna

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Some similar results here. Thank you for the help setting it up, Niko! Training set: ![training set](https://media.discordapp.net/attachments/1003207327203209236/1017507779080114270/unknown.png?width=1560&height=1137) Best I got with traditional textual encoding: ![training set](https://media.discordapp.net/attachments/1003207327203209236/1017508031283613706/unknown.png) ![training set](https://media.discordapp.net/attachments/1003207327203209236/1017508084849061949/unknown.png) With fine-tuning:...

Yes. You can load your ckpt into DeForum, or a similar batch img2img colab.

+1 on what @kitty7779 said. This repo automatically prunes the ckpt down to 2GB after creation (takes about 15-20 extra seconds) https://github.com/JoePenna/Dreambooth-Stable-Diffusion/ Use `main_prune.py` for that.

@binaryninja @ExponentialML absolutely, I changed every single thing I could. Including the training prompts.

# Miscellaneous `basquiat` ![painting of sks in the style of basquiat 0135](https://user-images.githubusercontent.com/100188076/190396746-0013af5b-d940-4567-9a27-306a756ecb9d.jpg) `picasso` ![painting of sks in the style of picasso 0130](https://user-images.githubusercontent.com/100188076/190396748-670c5420-079a-4319-9478-604fae25d8ca.jpg) `mondrian` ![painting of sks in the style of...

A find: By removing the "photo of" from the training: ![](https://media.discordapp.net/attachments/1017508728125276291/1019912481528893492/unknown.png) We're able to salvage some of the latent space. Here's "photograph of an apple" ![photograph-of-an-apple-0023](https://user-images.githubusercontent.com/100188076/190378734-6d29e58c-a130-4e70-8cce-5dffa786c739.jpg) As opposed to the...

@GpuLover would love to merge this in! could you resolve that conflict?