sayakpaul/dreambooth-keras
Implementation of DreamBooth in KerasCV and TensorFlow.
This project helps artists, designers, and marketers quickly teach a Stable Diffusion model a new visual concept using a few example images. You provide 3-10 images of your unique concept (like a specific dog or an object), along with a descriptive prompt, and it outputs a fine-tuned model capable of generating new images of that exact concept in various contexts. The target user is anyone who needs to generate highly specific images beyond what a general image generation model can typically produce.
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Use this if you need to generate many diverse images featuring a unique subject or style from just a handful of reference photos.
Not ideal if you're looking for a simple, off-the-shelf image generator that doesn't require training or fine-tuning with your own data.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Feb 16, 2023
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