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

Moebius introduces a highly efficient, lightweight image inpainting model that rivals large-scale industrial models in quality while drastically reducing computational costs. Its innovative architecture and adaptive distillation strategy enable high-fidelity results with significantly fewer parameters, making advanced image editing more accessible and practical for a wider range of applications. This breakthrough paves the way for more efficient AI models in the tech industry, balancing performance and resource consumption for consumers and developers alike.

• Moebius achieves comparable inpainting quality with less than 2% of the parameters of larger models.
• The model delivers over 15× faster inference times, enhancing real-time applications.
• Innovative architecture preserves complex interactions despite extreme compression, setting new efficiency standards.