Amil Dravid
@_AmilDravid • 1,095 subscribers
PhD @Berkeley_AI
Shorts
The latent space of earlier generative models like GANS can linearly encode concepts of the data. What if the data was model weights? We present weights2weights, a subspace in diffusion weights that behaves as an interpretable latent space over customized diffusion models.
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We've release our code and weights for weights2weights. Check out our demo on Hugging Face 🤗 powered by Gradio. Code: Weights: Demo: Thanks Linoy Tsaban(📍🇯🇵) apolinario 🌐 for the collab!
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