Hramchenko/diffusion_editor
🚀 PyTorch Implementation of "Diffusion Autoencoders: Toward a Meaningful and Decodable Representation"
This tool helps creative professionals or researchers modify specific attributes of human faces in digital images. You provide an existing face image, and it generates a new image where facial features like hair color, age, or expression have been altered in a controlled way. This is ideal for artists, marketers, or researchers working with digital imagery and facial aesthetics.
No commits in the last 6 months.
Use this if you need to precisely alter facial attributes in images for creative projects, marketing materials, or research studies.
Not ideal if you need to generate entirely new, unique faces from scratch rather than modifying existing ones.
Stars
7
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 21, 2022
Commits (30d)
0
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