A beginner's guide to the Instructir model by Mv-Lab on Replicate

Image: The degraded or low-quality input image
Prompt: A human-written instruction describing the desired restoration or enhancement

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This is a simplified guide to an AI model called Instructir maintained by Mv-Lab. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

InstructIR is a high-quality image restoration model that can recover clean images from various types of degradation, such as noise, rain, blur, and haze. The model takes a degraded image and a human-written prompt as input, and generates a restored, high-quality output image. This approach is unique compared to similar models like gfpgan, which focuses on face restoration, or supir, which uses a large language model for image restoration. InstructIR is designed to be a versatile, all-in-one image restoration tool that can handle a wide range of degradation types.

Model inputs and outputs

InstructIR takes two inputs: an image and a human-written instruction prompt. The image can be any type of degraded or low-quality image, and the prompt should describe the desired restoration or enhancement. The model then generates a high-quality, restored output image that follows the instruction.