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ideogram-ai/ideogram-character

Generate consistent characters from a single reference image. Outputs can be in many styles. You can also use inpainting to add your character to an existing image.

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If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

She change the outfit to a red dress, keep the lighting natural.

Your request will cost $0.02 per run.

For $1 you can run this model approximately 50 times.

One more thing:

ExamplesView all

She change the outfit to a red dress, keep the lighting natural.
a close up photo of a woman in a fashion magazine photoshoot
a close up photo of a woman in a fashion magazine photoshoot
she is hosting a podcast in a blue sweater
she is the president of the united states
a close up photo of a woman in a fashion magazine photoshoot
She wear stewardess uniform, changing the pose.
She wear uniform, and strike a very sweet pose.
Make the person in the photo smile happily, keep the background unchanged.
The woman wears a black silk dress.

README

Ideogram Character

Ideogram Character is a character consistency model designed to generate variations of characters using a single reference image. The model maintains visual consistency across different scenes and contexts while preserving the core identity of the subject, working with both real and fictional characters.

Core Functionality

The model operates by taking a single reference photograph and generating variations of the character depicted. It maintains fidelity to the original character while adapting them to new environments, contexts, and artistic styles. Character definition is handled automatically through facial and hair detection algorithms that identify key features defining the character’s identity.

Technical Specifications

Input Requirements

  • Single reference image with clear facial features
  • Text prompts for scene description

Processing Method

The system processes input images by automatically detecting facial features and hair characteristics that form the core identity map. This map is preserved across all generated variations, ensuring character consistency regardless of the new context or style applied.

Applications and Limitations

The model excels at maintaining character consistency across varied scenarios, supporting contextual placement in new environments, artistic style transfers, and scene composition. Performance depends heavily on reference image quality, with clear facial features being essential for optimal results.

Complex poses, extreme viewing angles, or poor image quality may impact consistency. Additionally, aggressive style transfers may sometimes compromise fine detail preservation in favor of stylistic adaptation.