ExponentialML

It was referenced [here](https://github.com/ayoolaolafenwa/PixelLib/issues/111#issue-1032001357) before, but the answer wasn't helpful at **all**. Many of the files have broken imports. You have to go through each one of them, and change...

> You should train until the very end. Okay, thanks. Also, you might want to clarify in demo.ipynb file that you must do: `!pip install -r requirements.txt` I trained a...

Yes, but the results will be satisfactory. I'm guessing that you're looking to do some kind of quick, supervised motion transfer and get around training the model as it takes...

Nice results! I've been running some experiments as well. I've upped the class images from the suggested 8 to about 100. It seems to generalize better. I *almost* got it...

Also just to confirm in case someone is wondering, I haven't had any luck fine-tuning multiple concepts on the newly trained models. So if you train a concept, then train...

@Maki9009 If you want to train for a longer period of time, you can just replace `trainer.test(model, data)`. Either that or you can use a boolean with argparse, or just...

@Maki9009 Yes it still technically finished training. Removing this test option allows it to train for longer (not the option itself, it's a bug that's missing some params in this...

> > @Maki9009 Yes it still technically finished training. Removing this test option allows it to train for longer (not the option itself, it's a bug that's missing some params...

> When training the second person did you change the name of the hardcoded token "sks"? > > https://github.com/XavierXiao/Dreambooth-Stable-Diffusion/blob/main/ldm/data/personalized.py#L10 This happens even when changing the hardcoded token. There's a problem...

> @binaryninja @ExponentialML absolutely, I changed every single thing I could. Including the training prompts. I haven't tried this as I'm a bit busy this week, but this could be...