DreamArtist-stable-diffusion VS StableTuner

My original approach was to try and use the DreamArtist extension to preserve details from a single input image, and then control the pose output with ControlNet's openpose to create a clean turnaround sheet, unfortunately, DreamArtist isn't great at preserving fine detail and the SD turnaround model doesn't play nicely with img2img.

There's also many variations and GUI tools that mix the methods ( like Dreamartist that is like a textual inversion, but with only one image https://github.com/7eu7d7/DreamArtist-stable-diffusion )

In case you want to look at it: https://github.com/7eu7d7/DreamArtist-stable-diffusion and https://github.com/7eu7d7/DreamArtist-sd-webui-extension for Automatic1111 (it's on the extensions list)

github: https://github.com/7eu7d7/DreamArtist-stable-diffusion

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