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Moebius: 0.2B image inpainting model with 10B-level performance

Moebius: 0.2B image inpainting model with 10B-level performancehustvl.github.io

The 0.2B-parameter Moebius model achieves performance comparable to 10B-level models on image inpainting, using Latent Categories Guidance (LCG) and adaptive multi-granularity distillation. It is built on a restructured denoising U-Net with proposed LλM I blocks for extreme efficiency.

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Jun 22, 1:53 PM
Moebius: 0.2B image inpainting model with 10B-level performance — AIBriefs