Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Personalize text-to-image models quickly using a pre-trained model for specific image types, like faces.
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e4t-diffusion has 324 stars on GitHub. It has been forked 22 times. e4t-diffusion is written mainly in Python. It has been in active development since 2023. e4t-diffusion is available under the MIT license. Its main topics are deep-learning, diffusion-models, stable-diffusion, text-to-image.
Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
e4t-diffusion is an open-source project. It is released under the MIT license.
Yes. e4t-diffusion is free and open source — you can use, modify and self-host it.
e4t-diffusion is available under the MIT license.
e4t-diffusion is written mainly in Python.
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