AI BriefingSegMoE: MoE Framework for Diffusion Models Released
Key point
SegMoE, a Mixture-of-Experts (MoE) framework for diffusion models, has been released.
Details
SegMoE is a framework based on the Stable Diffusion architecture that combines multiple expert models into a single model by replacing the existing Feed-Forward layers with sparse MoE layers. A router network selects the expert best suited to process each token, improving computational efficiency.
It is fully integrated with Hugging Face's diffusers library, and comes with code and a GitHub repository that let users build their own MoE-style models.
Key models released:
- SegMoE-2x1: based on 2 expert models
- SegMoE-4x2: based on 4 expert models
- SegMoE SD 4x2: based on 4 Stable Diffusion 1.5 expert models
Users can create custom MoE models in just a few minutes using the segmoe package.
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