Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance

Moebius is a lightweight image inpainting framework featuring a model size of 0.2 billion parameters while achieving performance levels comparable to models with 10 billion parameters. This framework offers significant efficiency in image restoration tasks, making it an important tool for practitioners focusing on resource-constrained environments or applications requiring fast inference times. The architecture optimizes performance without the overhead of larger models, providing a practical solution for real-time image inpainting.