prompt-to-prompt VS StableTuner

Found relevant code at https://github.com/google/prompt-to-prompt + all code implementations here

Null text inversion produces almost a perfect textual inversion, and then allows you to edit it with a prompt, like instruct2pix. https://github.com/google/prompt-to-prompt

First we had Google's prompt to prompt https://github.com/google/prompt-to-prompt

Narratives can also work, like "walking down forest path". However, it'll be difficult to keep the character positioned the way you want with that. If you're a techie somewhat, you can try to use https://github.com/google/prompt-to-prompt to generate someone you like and then see if you can get a better background without changing the character.

Google has a nice paper on text-guided image2image translation by inferring the (random) init image and changing the prompt: https://github.com/google/prompt-to-prompt

Of all dreamboothing/finetuning implementations I tried I liked StableTuner the most. Might be worth giving it a shot to compare as well.

Largest I've gone is about 100 images for objects or people. I don't think it matters though, it can be a hassle setting up and resuming the training session each time if your doing small sessions. Stable Tuner can simplify all of this by helping you set everything up through their client installed locally. You can then easily do your training locally in short sessions or have it automatically packed up to be exported to colab or another gpu hosting service, also with the ability to train in short sessions. Its a smart way to manage large training projects like yours. It requires a bit of time setting up but most folks who have already played around with dreambooth should be able to navigate their way through easily enough. It has all the other training methods built into it too, including proper fine tuning https://github.com/devilismyfriend/StableTuner

Some people also like StableTuner: https://github.com/devilismyfriend/StableTuner

Stable Tuner seems like it's setup to allow training on regular/inpaint/depth models. https://github.com/devilismyfriend/StableTuner

StableTuner is an alternative to the sd_dreambooth plugin. It can do Dreambooth and Fine Tuning (I haven't tried this but I think it's embeddings) It uses diffusers but will convert between that and ckpt files, is for Windows/Nvidia, and uses a local app instead of a webapp. This is the only successful local Dreambooth I've done. You'll need to go to their discord for help but it's not hard to use.

Dreambooth is has better results in older commits. StableTuner is better for training : https://github.com/devilismyfriend/StableTuner