InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting

TL;DR

InverFill introduces a one-step inversion method for image inpainting that enhances few-step diffusion models, achieving high fidelity and improved image quality. This approach allows for faster inpainting without the need for extensive retraining.

Key Takeaways

• Use InverFill to improve inpainting results with fewer sampling steps.
• Leverage semantic information from input images for better fidelity.
• Avoid the need for real-image supervision in your models.
• Achieve high-quality inpainting without costly retraining.