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AI image model
Ideogram
Ideogram

Ideogram Character

Character is Ideogram V3's character-reference generation path. The reference anchors who the subject is while the prompt defines the new image; it is neither fidelity-preserving editing nor multi-person identity management. 12 / 18 / 24 credits per image; 1–4 outputs

Capabilities
Single-character reference generation
Credit cost
Credit cost — 12 / 18 / 24 credits per image; 1–4 outputs
Prompt limit
5,000 characters
Upload limit
1 image
30-second overview
  • Ideogram Character / Capabilities — Start here when one approved character image must guide a different action, environment, or camera view while retaining recognizable traits.
  • Ideogram Character / Style — Character consistency is an objective, not a guarantee; facial, clothing, and accessory details can drift.
  • Ideogram Character / Credit cost — TURBO/BALANCED/QUALITY cost 12/18/24 credits per image; the total follows the selected output count.
  • Ideogram Character / Rendering speed — Rendering tier, MagicPrompt, seed, and negative prompt enable controlled comparisons.

Popular searches: how to use Ideogram Character · how many credits does Ideogram Character cost · how to choose an Ideogram Character reference image

At a glance

What is this model like?

Start here when one approved character image must guide a different action, environment, or camera view while retaining recognizable traits. TURBO, BALANCED, and QUALITY cost 12, 18, and 24 credits per image. The total is the per-image rate multiplied by the selected 1–4 outputs, rounded up to whole credits.

What it does best
Character is Ideogram V3's character-reference generation path. The reference anchors who the subject is while the prompt defines the new image; it is neither fidelity-preserving editing nor multi-person identity management.
Best for
It fits mascot concepts, original characters, game or story scene drafts, and series work that needs to evaluate one subject's recognizability across images.
Why use it on Kyeo AI
Compare Remix when the objective is a generative reinterpretation of the source, or Reframe when the objective is outpainting and canvas adaptation. Their input goals and review criteria both differ from Character.

Key facts

Quickly assess whether this model fits your use case.

Category
AI image model
Vendor
Ideogram
Model family
Ideogram
Runtime
Asynchronous task
Prompt limit
5,000 characters
Upload limit
1 image

Also known as

The same model may appear under different names across documentation and community discussions; this list keeps them easy to search and compare.

Ideogram Character API
Ideogram character reference

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

how to use Ideogram Character
how many credits does Ideogram Character cost
how to choose an Ideogram Character reference image
how many reference images does Ideogram Character support
how to test Ideogram Character consistency
Ideogram Character supported image sizes
Ideogram Character rendering speed comparison
Ideogram Character realistic vs fictional style
Ideogram Character vs Remix
can Ideogram Character make a character series

Selection guide

Use these decision points when choosing a model.

1
Choose Character for a known subject in a new scene

Choose Character for a known subject in a new scene — Start here when one approved character image must guide a different action, environment, or camera view while retaining recognizable traits.

2
Switch paths for a style change or a larger canvas

Switch paths for a style change or a larger canvas — Compare Remix when the objective is a generative reinterpretation of the source, or Reframe when the objective is outpainting and canvas adaptation. Their input goals and review criteria both differ from Character.

3
Run three controlled scene tests first

Run three controlled scene tests first — Cross-scene recognizability is the useful metric. Review facial structure, silhouette, hair color, clothing, and signature elements separately instead of selecting only the most striking output.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

What is the difference between Ideogram Character and Ideogram V3 Remix?
Ideogram Character vs Ideogram V3 Remix
What is the difference between Ideogram Character and Ideogram V3 Reframe?
Ideogram Character vs Ideogram V3 Reframe
What is the difference between Ideogram Character and Nano Banana Pro?
Ideogram Character vs Nano Banana Pro

Model comparison

Compare the current model with alternatives at a glance.

Primary goal
Ideogram Character
Generate a new scene from one character reference
Ideogram V3 Remix
Generatively remix a source image with a prompt
Input focus
Ideogram Character
One clear, single-character reference
Ideogram V3 Remix
One source image; strength adjusts source influence
Prompt requirement
Ideogram Character
Required, up to 5,000 characters
Ideogram V3 Remix
Required, with negative prompt and strength controls
Credits per request
Ideogram Character
12 / 18 / 24 per image; 1–4 outputs
Ideogram V3 Remix
4 / 7 / 10 by rendering tier
Primary review target
Ideogram Character
Face, hair, clothing, and signature details
Ideogram V3 Remix
Style change and source-image influence

Practical usage insights

Practical guidance based on public sources, current on-site limits, and representative tasks.

One strong image does not make a usable series

Ideogram Character / One strong image does not make a usable series — Cross-scene recognizability is the useful metric. Review facial structure, silhouette, hair color, clothing, and signature elements separately instead of selecting only the most striking output.

The same input type can serve three different jobs

Ideogram Character / The same input type can serve three different jobs — Character uses the reference to define who appears, Remix reinterprets how the source looks, and Reframe extends where the image ends. Choose the job before comparing prices or controls.

Capabilities

Single-character reference generation

Single-character reference generation — Start here when one approved character image must guide a different action, environment, or camera view while retaining recognizable traits.

Style and prompt expansion

Style and prompt expansion — Realistic and Fictional modes accommodate photographic and illustrated references.

Size and repeatability controls

Size and repeatability controls — Six sizes cover common square, portrait, and landscape series formats.

Use cases

Mascot scene concepts

Place one mascot in seasonal, event, or product settings to compare creative directions before designers normalize the final details.

Story and social sequences

Explore poses, camera views, and backgrounds for one protagonist, then retain only the outputs whose identity traits pass review.

Game or IP character pitches

Build new-scene proposals from an approved character sheet, then verify design rules, rights, and brand requirements before publication.

Prompt tips

Use a clear single-character reference

Use a clear single-character reference — Start here when one approved character image must guide a different action, environment, or camera view while retaining recognizable traits.

Describe the change, not a new identity

Describe the change, not a new identity — Focus on action, setting, composition, camera, and lighting. Appearance details that conflict with the reference can increase character drift.

Hold controls steady while measuring drift

Hold controls steady while measuring drift — Cross-scene recognizability is the useful metric. Review facial structure, silhouette, hair color, clothing, and signature elements separately instead of selecting only the most striking output.

Why choose it

Runtime / Ideogram Character — The character-reference objective is easier to test than a general-purpose remix.
Style — Realistic and Fictional modes accommodate photographic and illustrated references.
Image size — Six sizes cover common square, portrait, and landscape series formats.
Rendering speed — Rendering tier, MagicPrompt, seed, and negative prompt enable controlled comparisons.

What to know first

Ideogram Character / Capabilities — Character consistency is an objective, not a guarantee; facial, clothing, and accessory details can drift.
Upload limit / Output count — Only one reference image is accepted, but each task can create 1–4 outputs; multiple references are not supported.
Output count — Generate one representative sample with the selected parameters and confirm that it meets the goal before expanding the batch.
Runtime / Ideogram Character — AI output does not grant rights to a person, trademark, character, or training material; publication still requires human review.

Adjustable parameters

Quickly assess whether this model fits your use case.

Rendering speed
rendering_speed
Optional
Parameter type: select
Default: BALANCED
TURBO
BALANCED
QUALITY
Style
style
Optional
Parameter type: select
Default: AUTO
Auto
Realistic
Fictional
MagicPrompt
expand_prompt
Optional
Parameter type: select
Default: true
On
Off
Image size
image_size
Optional
Parameter type: select
Default: square_hd
Square
Square HD
Portrait 3:4
Portrait 9:16
Landscape 4:3
Landscape 16:9
Output count
num_images
Optional
Parameter type: select
Default: 1
1
2
3
4
Seed
seed
Optional
Parameter type: number
Negative prompt
negative_prompt
Optional
Parameter type: text
Maximum 5,000 characters

Credit usage

12 / 18 / 24 credits per image; 1–4 outputs

TURBO, BALANCED, and QUALITY cost 12, 18, and 24 credits per image. The total is the per-image rate multiplied by the selected 1–4 outputs, rounded up to whole credits.

Budget tip

Before batch generation, run an A/B test with the same assets across the current model and alternatives to validate quality and avoid wasting credits.

FAQ

Related models

Compare these similar candidates before deciding.

Ideogram V3 Remix

Ideogram V3 Remix — Upload one JPEG, PNG, or WebP image, describe what should stay or change, then choose speed, style, MagicPrompt, size, strength, and 1–4 outputs. It suits experiments with style, setting, material, or content based on an existing poster, illustration, product concept, or social asset.

AI image model
4 / 7 / 10 credits per image; 1–4 outputs

Nano Banana Pro

Nano Banana Pro supports text-to-image generation and reference-image editing on Kyeo AI, with 1K, 2K, or 4K output. Each 1K or 2K request costs 8 credits, while 4K costs 14. Resolution is an output-size tier, not a guarantee of quality, accuracy, or detail.

AI image generation and editing model
8–14 credits per request

Z-Image

Kyeo AI's Z-Image workflow is a streamlined text-to-image option. The public source service charges a raw price of 0.8 credits per image, and the local integer-credit wallet rounds it up to 1 credit; prompts can contain up to 1,000 characters, and 5 aspect ratios are available. The workflow does not accept image input or provide editing.

AI image generation model
Public source 0.8/image; local 1 credit

Sources

Content is based on model documentation, feature references, and the settings available on Kyeo AI.

Source note

This page describes the current public Ideogram Character capabilities using Ideogram official documentation.

Last updated: 2026-08-26
Ideogram Developer Docs
Official
View source
Ideogram Character API Reference
Official
View source