Summary
Stable Diffusion is a model that can be used to generate personalized images based on custom styles or objects. It can be fine-tuned with a set of images, binding them to a unique identifier that references the user.
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DreamBooth is a tool developed by Google that takes recent progress in text-conditional image synthesis to the next level and can be used to implant users into a pre-trained Stable Diffusion model's vocabulary and label them with a text prompt.
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This technique achieves results with no more than a dozen images of the subject and the model can be fine-tuned with a set of images.
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Summary
This tutorial focuses on how to fine-tune the embedding of Stable Diffusion using textual inversion to create personalized images based on custom styles or objects. It explains how to install the model, prepare the data, configure the model, and fine-tuning the embedding. Finally, it provides a comparison between a real life object and a generated image using stable diffusion model and fine-tuned embedding.
How to Fine-tune Stable Diffusion using Textual Inversion | by Ng Wai Foong | Towards Data Science
towardsdatascience.com
Summary
DreamBooth is a new tool developed by researchers at Google that takes recent progress in text-conditional image synthesis to the next level. To use DreamBooth, users must implant themselves into a pre-trained Stable Diffusion model's vocabulary and label them with a text prompt. This technique achieves results like the ones seen in the experiment with no more than a dozen images of the subject, and the model can be fine-tuned with a set of images, binding them to a unique identifier that references the user.
The guide to fine-tuning Stable Diffusion with your own images | Tryolabs
tryolabs.com
