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A beginner's guide to the Consistent-Character model by Fofr on Replicate

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

Model overview

The consistent-character model, created by fofr, allows you to generate images of a given character in different poses. This model is similar to other character generation models like become-image, sdxl-simpsons-characters, pulid-base, and face-to-many. However, the consistent-character model focuses specifically on generating consistent images of a character in different poses, rather than transforming or generating characters in different styles.

Model inputs and outputs

The consistent-character model takes in a prompt, a subject image, and various other parameters to control the output. The outputs are a set of images of the character in different poses, generated based on the input.

Inputs

  • Prompt: A textual description of the character, including details about their clothes and hairstyle, to help maintain consistency.
  • Subject: An image of the person to be used as the basis for the character.
  • Negative prompt: Things you do not want to see in the generated images.
  • Number of outputs: The number of images to generate.
  • Number of images per pose: The number of images to generate for each pose.
  • Randomise poses: Whether to randomize the poses used.
  • Output format and quality: The format and quality of the output images.

Outputs

  • A set of images of the character in different poses, generated based on the input.

Capabilities

The consistent-character model can g...

Click here to read the full guide to Consistent-Character

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