Icon of InstructPix2Pix: Image Editing with Human InstructionsInstructPix2Pix

InstructPix2Pix - InstructPix2Pix: Image Editing with Human Instructions

InstructPix2Pix is an AI-powered method for editing images based on written instructions. Using a conditional diffusion model, this tool can quickly edit images to fulfill user-provided instructions without the need for per-example fine-tuning or inversion.

InstructPix2Pix Product Information

What is InstructPix2Pix?

InstructPix2Pix is a cutting-edge image editing solution that follows written instructions to edit images. It combines the knowledge of large pretrained models, including a language model (GPT-3) and a text-to-image model (Stable Diffusion), to generate a comprehensive dataset of image editing examples for training. The tool can generalize to real images and user-written instructions at inference time and performs edits swiftly, in a matter of seconds. InstructPix2Pix showcases compelling editing results across a diverse range of input images and written instructions, offering unprecedented flexibility and creativity in image editing.

How to Use InstructPix2Pix?

To use InstructPix2Pix, simply provide a written instruction along with the input image, and the tool will swiftly generate the edited image according to the provided instruction. This method enables users to quickly and effectively communicate their desired image edits using natural language instructions.

Core Features of InstructPix2Pix

  • Follows written instructions to edit images
  • Generates varied image edits for the same input image and instruction
  • Can perform realistic edits on images up to 768-width resolution
  • Reflects biases from the data and models it is based upon

Use Cases of InstructPix2Pix

  • Artistic image editing
  • Creative transformations of iconic images and artwork
  • Quick and effective communication of image edit instructions using natural language

FAQ about InstructPix2Pix

How does InstructPix2Pix handle isolated changes and contextual effects?

Isolated changes in images may bring along accompanying contextual effects. For example, the addition of boats may also add wind ripples in the water, and the added city skyline may be reflected on the lake.

What resolution of images can InstructPix2Pix realistically edit?

Despite being trained at 256x256 resolution, InstructPix2Pix can perform realistic edits on images up to 768-width resolution.

Can InstructPix2Pix produce varied image edits for the same input image and instruction?

Yes, by varying the latent noise, InstructPix2Pix can produce many possible image edits for the same input image and instruction.

What are the limitations of InstructPix2Pix?

InstructPix2Pix may have limitations in performing viewpoint changes, preventing undesired excessive changes to the image, isolating specified objects, and reorganizing or swapping objects.

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