dorarad/gansformer
Generative Adversarial Transformers
This project helps graphic designers, artists, and researchers generate realistic and diverse images from scratch. You provide a general concept or latent variables, and it outputs high-resolution images of faces, bedrooms, or cityscapes. It's designed for anyone needing to create large volumes of unique visual content or explore generative AI capabilities.
1,346 stars. No commits in the last 6 months.
Use this if you need to quickly generate high-quality, diverse synthetic images, such as for design prototyping, data augmentation, or creative content generation.
Not ideal if you need to generate images based on specific text prompts, modify existing images, or require pixel-perfect control over every detail of the output.
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1,346
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151
Language
Python
License
MIT
Category
Last pushed
Jun 14, 2022
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