Dreambooth is Google’s new AI and it allows you to train a stable diffusion model with your own pictures with better results than textual inversion. Dreambooth is originally based on Imagen text-to-image model and this technology makes it possible for you to insert any character (yourself, your friends, your family), object or animal you want into a stable diffusion model, all of that with a few images and in less than 1h. In this video, I will show you how you can train your own style similar to Midjourney using Dreambooth and GPU renting sites like Runpod or Vast ai, all of that for a few cents. I will also show how you can download a trained dreambooth models from the huggingface Stable Diffusion Dreambooth Concepts Library and then convert it into a CKPT file using the convert_diffusers_to_sd.py script that just came out a few days ago!
Did you manage to train a new style? Let me know in the comments!
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HUGGING FACE:
huggingface.co...
Midjourneyart style: mega.nz/folder...
ddfusion style: mega.nz/folder...
Converter script: gist.github.co...
python .\convert_diffusers_to_sd.py --model_path .\disco-diffusion-style --checkpoint_path .\disco-diffusion-style\discodiffusion.ckpt
Download my repo by replacing the cell by:
dataset="style_ddim" #@param ["man_euler", "man_unsplash", "person_ddim", "woman_ddim", "blonde_woman"]
!git clone github.com/ait...
!mkdir -p regularization_images/{dataset}
!mv -v SD-Regularization-Images-Style-Dreambooth/{dataset}/*.* regularization_images/{dataset}
./gdrive upload ./trained_models --recursive
#stablediffusion #dreambooth #stablediffusiontutorial
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Негізгі бет DREAMBOOTH: Train Your Own Style Like Midjourney On Stable Diffusion
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