JiauZhang/hyperdreambooth
Implementation of HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Quickly create personalized image generation models from just a few photos of a person or object. You provide 3-5 images of your subject, and the system outputs a customized model you can then use to generate new images of that subject in various styles and scenarios. This is perfect for artists, designers, marketers, or anyone needing to generate consistent images of a specific person, pet, or product.
175 stars. No commits in the last 6 months.
Use this if you need to rapidly train a text-to-image model to produce images of a consistent subject from a small set of reference photos.
Not ideal if you need to train a model from scratch with a large dataset or if you require extremely fine-grained control over the training process beyond personalization.
Stars
175
Forks
10
Language
Python
License
MIT
Category
Last pushed
Jul 19, 2023
Commits (30d)
0
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