The article also provides a comparison table summarizing the key details of each upscaler model, including average run time, cost per run, pros, and cons. It concludes by encouraging readers to utilize these AI tools to enhance their AI-generated images and unlock their creative potential. The article also provides further reading resources for those interested in digging deeper into AI image upscaling and restoration.
Key takeaways:
- AI image upscalers can transform low-resolution, glitchy AI-generated images into sharp, ultra-realistic masterpieces.
- There are several top AI models for enhancing image resolution, including ESRGAN, SRResCGAN, Swin2SR, Latent SR, GFPGAN, and Codeformer, each with their own strengths and weaknesses.
- Choosing the right upscaler depends on specific needs, such as the need for realistic textures, handling ultra-low resolution, speed and flexibility, reconstructing lost details, perfecting faces, or pushing quality to the maximum.
- With the power of AI upscalers, artists can refine their raw AI art into professional masterpieces, unlocking the true potential of their creativity.