Training SD Models with AMD GPU's in DreamBooth! Surprisingly fast results!

Training your own custom Stable Diffusion models in dreambooth with AMD GPU's is awesome! Add pictures of people you know and train the AI to put them into pictures. Bring patterns and textures into a model. Train SD to draw a character more reliably by using real photos and telling SD who that character is to produce reliable results! Endless possibilities! Install Dreambooth extension in Automatic1111 Change diffusers to 0.23.1 go to stable-dffusion-webui/extensions/sd_dreambooth_extension edit file requirements.txt find line with diffusers and change to ==0.23.1 save file In command line source venv/bin/activate pip install -r /extensions/sd_dreambooth_extension/requirements.txt After that you should be able to start SD like normal Dreambooth tab create a model once created ensure that model is selected go to concepts put in directory of training images put in the prompt you want to be associated with those images sample images tab put in a prompt to generate images after training is done -- include the new prompt you just made parameters tab 8bit adam uses bits and bytes, only viable if you have bits and bytes compiled correctly with ROCm or are using Nvidia cards AMD use Torch AdamW uncheck use ema uncheck cache latents Mixed precision bf16 Check Full Mixed Precision Intervals Save Model Frequency bump up to only saving a few times during training Save Previews Frequency drop to 0 Image Generation Tab Native Diffusers EulerAncestralDiscrete has worked for me Image Processing - if you have vram issues drop down scale to 256 Save config before training! Hit train and see how it goes, you can train a model more, but if you over train a model you will need to start over.