The best settings to train a Dreambooth model for Stable Diffusion using an RTX 3060 with 12GB of VRAM will depend on the specific dataset you are using, but here are some general recommendations:

* Use the `8bit AdamW` optimizer. This will help to reduce the memory usage of the training process.
* Use `fp16` mixed precision. This will further reduce the memory usage and speed up the training process.
* Set the `memory_attention` to `xformers`. This will also help to reduce the memory usage.
* Set the `training_steps_per_image` to 150. This will give you a good balance between training quality and training time.
* You can also try using the `move_vae_and_clip_to_ram` setting. This will move the VAE and CLIP models to RAM, which can help to reduce the memory usage.

Here are some additional tips:

* Use a high-quality dataset of images. The better the quality of the images, the better the results of the training will be.
* Use a large number of images. The more images you use, the better the model will generalize to new images.
* Be patient. Training a Stable Diffusion model can take a long time, especially on a GPU with limited VRAM.

I hope these recommendations help you to train a successful Dreambooth model for Stable Diffusion on your RTX 3060.
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