HenryNdubuaku/halo
A Library That Uses Quantized Diffusion Model With Clustered Weights For Efficiently Generating More Image Datasets On-Device.
Halo helps machine learning practitioners expand small image datasets into much larger ones. You provide a limited collection of images, and it generates many more diverse examples, which can then be used to train robust machine learning models. This is ideal for anyone developing image classification or understanding systems who struggles with scarce data.
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Use this if you need to quickly generate additional synthetic images from a small, existing dataset to improve the training of your machine learning models.
Not ideal if you are looking for advanced image editing, manipulation, or style transfer, as its primary purpose is dataset expansion.
Stars
12
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jun 09, 2023
Commits (30d)
0
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