dongzhuoyao/uspace
An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"
This project helps researchers and developers who work with generative AI models, specifically those focused on image generation. It provides tools to precisely control and modify the semantic characteristics of generated images. Users can input existing image generation models and text prompts to guide alterations, allowing for fine-tuned outputs such as changing facial features or adding objects based on textual descriptions.
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Use this if you need granular control over the semantic content of images generated by transformer-based diffusion models, such as modifying specific attributes or objects.
Not ideal if you are a casual user looking for a simple drag-and-drop image editor or do not have experience working with AI model training and manipulation.
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Language
Python
License
MIT
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Last pushed
Apr 10, 2024
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