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

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

Model overview

consistent-character generates multiple images of the same character in different poses. Built on SDXL technology, this model takes a reference image of a person and creates variations showing that character in new positions and contexts. Unlike general text-to-image models such as sdxl-lightning-4step, which generate images from text alone, this specialized tool maintains character consistency across multiple outputs. It pairs well with other SDXL-based creative tools like cinematic-redmond for stylized character work or masactrl-sdxl for controlled image editing.

Model inputs and outputs

The model accepts a reference image of a person alongside text descriptions to guide the generation process. You control how many poses to generate, the visual style through prompts, and various output parameters. The result is a collection of images showing your character in different positions, all maintaining visual consistency with the original reference.

Inputs

Subject - An image of a person to use as reference. Close-up face photos work best, preferably square-format.
Prompt - Text description of the character. Include details about clothing and hairstyle for better consistency across outputs.
Negative Prompt - Things you do not want to appear in the generated images.
Number of Outputs - How many images to generate (1-20, default 3).
Number of Images Per Pose - How many variations to create for each pose (1-4, default 1).
Randomise Poses - Whether to use random poses or a set sequence.
Output Format - Choose webp, jpg, or png format.
Output Quality - Image quality setting from 0-100.
Seed - Set a specific seed for reproducible results.
Disable Safety Checker - Option to disable content filtering.