DREAMBOOTH Free For Everyone! No Installation & Troubleshooting Guide!



Published
Dreambooth, Google’s new AI just came out and it is already evolving fast! The premise is simple: allowing you to train a stable diffusion model using your own pictures faster and with better results than textual inversion. In this video I will try to explain why you might get errors running Dreambooth with Joe Penna's notebook using Runpod and Vast ai and how to solve these issues. I will also show you some tips and tricks on how you can get better results with it and finally, I will show you how you can use Dreambooth for free using one of three Google Colab docs.

Did this solve your problem? Let me know in the comments!
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Runpod: https://bit.ly/runpodAi

Vast ai: https://vast.ai/

GOOGLE COLAB Docs:
HUGGING FACE:
https://huggingface.co/sd-dreambooth-library
To train:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb
To Generate:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb

ShivamShrirao 17.7 GB VRAM twice as fast! + Option to train under 12GB VRAM
https://github.com/ShivamShrirao/diffusers/tree/main/examples/dreambooth
https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb

TheLastBen +65% speed increase + less than 12GB VRAM
https://github.com/TheLastBen/fast-stable-diffusion
https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb

GRISK: https://grisk.itch.io/stable-diffusion-gui

ps aux
What celebrity do you look like: https://starbyface.com/

#stablediffusion #dreambooth #stablediffusiontutorial
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