mkshing/e4t-diffusion
Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
This tool helps creative professionals or researchers quickly personalize text-to-image models. You provide a few example images of a specific subject or artistic style, and it learns to generate new images incorporating that unique look or individual. The output is a highly customized image generation model capable of creating novel images based on text prompts.
324 stars. No commits in the last 6 months.
Use this if you need to rapidly train an AI to generate images of a specific person, object, or artistic style with minimal input images.
Not ideal if you're looking for an off-the-shelf image generator without any custom training, or if you need to generate images from a completely new concept that doesn't have existing visual examples.
Stars
324
Forks
22
Language
Python
License
MIT
Category
Last pushed
Apr 23, 2023
Commits (30d)
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