Models/AI Character Consistency API

AI Character Consistency API Indonesia | MuAPI

Live40+ character consistency models, one API key

Muapi's character consistency API turns one or more reference images into repeatable subjects for images and videos. Compare lightweight single-reference models, larger reference packs, and multimodal reference-to-video endpoints without integrating every vendor separately.

10 of 10 representative models
MiniMaxImage Reference

MiniMax Subject Reference

A low-cost single-reference endpoint for carrying a subject into a new image.

1 image in, image out
$0.01/generation
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IdeogramImage Reference

Ideogram Character

Preserve a recognizable character identity while generating a new illustrated or photoreal scene.

1 image in, image out
$0.15/generation
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ByteDanceImage Reference

Seedance 2 Character

Use one to three references when the subject needs stronger identity and appearance control.

1–3 images in, image out
$0.18/generation
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GoogleMultimodal Reference

Gemini Omni Character

A free multimodal option for combining several character or wardrobe references in one prompt.

Multiple images in, image out
Free
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ViduVideo Reference

Vidu Q2 Reference

Reference-driven video generation with a pack of up to seven images for consistent subjects.

Up to 7 images in, video out
$0.065/generation
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AlibabaVideo Reference

Wan 3.0 Reference to Video

Use a larger reference pack to guide identity and visual continuity in generated video.

Up to 10 images in, video out
$0.50/generation
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GoogleVideo Reference

Veo 3.1 Reference to Video

Premium reference-to-video generation for cinematic shots with a controlled subject.

Up to 3 images in, video out
$0.60/generation
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KuaishouVideo Reference

Kling O1 Reference to Video

Build a consistent video subject from multiple views and a directed natural-language prompt.

Up to 7 images in, video out
$0.72/generation
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MiniMaxMultimodal Reference

MiniMax H3 Reference to Video

Combine visual and temporal references when a character's look, movement, and sound all matter.

Image, video, or audio refs in, video out
$1.00/generation
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ByteDanceMultimodal Reference

Seedance 2.5 Omni Reference

A high-capacity reference endpoint for complex character packs and multi-scene video continuity.

Up to 30 images in, video out
$1.70/generation (720p)
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What Is a Character Consistency API?

A character consistency API uses one or more reference images to reproduce the same subject in new scenes, poses, outfits, and camera angles. Image-reference models are useful for character sheets and stills; reference-to-video models carry that identity into motion.

Muapi exposes both families through the same REST submit-and-poll flow. Choose a model by reference-pack size, input modality, price, or whether the output should be an image or a video.

Key Capabilities

Image Reference Generation

Turn a source character image into new stills while preserving recognizable facial features, clothing, and visual identity.

Reference-to-Video

Animate a referenced subject into a new shot with models that support video output, motion, and scene direction.

Verified Reference-Pack Limits

The catalog makes each model's practical reference limit visible, from one image to packs of up to thirty.

Multimodal References

Use endpoints that accept combinations of images, video, or audio when identity includes movement, voice, or timing.

Task-Type Hints

Pass the model-specific task type and reference fields explicitly so asynchronous jobs fail less often and are easier to retry.

Pay Per Generation

Start with free or low-cost image references, then move to premium video models only when the shot requires them.

Representative Character Consistency Model Comparison

ModelProviderPriceBest For
MiniMax Subject ReferenceMiniMax$0.01/generationLowest-cost single-image reference
Ideogram CharacterIdeogram$0.15/generationConsistent illustrated or photoreal stills
Seedance 2 CharacterByteDance$0.18/generationOne-to-three reference images
Gemini Omni CharacterGoogleFreeFree multimodal image references
Vidu Q2 ReferenceVidu$0.065/generationUp to seven references to video
Wan 3.0 Reference to VideoAlibaba$0.50/generationLarge reference packs for video
Veo 3.1 Reference to VideoGoogle$0.60/generationPremium cinematic reference shots
Seedance 2.5 Omni ReferenceByteDance$1.70/generation (720p)Complex multimodal packs and continuity

Reference limits, supported modalities, and prices vary by model. Check each model's Playground schema before submitting production requests.

How to Call the Character Consistency API

  1. Choose an image or video model. Select a model based on output type, reference-pack size, modality, and budget.
  2. Host your references. Upload source images through POST /api/v1/upload_file, or use publicly reachable URLs accepted by the selected endpoint.
  3. Send the task-type fields. Call POST /api/v1/{model-slug} with images_list, a prompt, and any model-specific reference or task-type fields.
  4. Poll and persist the result. Check GET /api/v1/predictions/{request_id}/result until status is completed, then store the returned image or video.
curl -X POST https://api.muapi.ai/api/v1/seedance-2.5-omni-reference \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "images_list": [
      "https://example.com/character-front.jpg",
      "https://example.com/character-side.jpg"
    ],
    "prompt": "the character walking through a neon-lit city street at night",
    "omni_reference_task_type": "reference",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'
import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/seedance-2.5-omni-reference",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={
        "images_list": [
            "https://example.com/character-front.jpg",
            "https://example.com/character-side.jpg",
        ],
        "prompt": "the character walking through a neon-lit city street at night",
        "omni_reference_task_type": "reference",
        "duration": 5,
        "aspect_ratio": "16:9",
    },
)
request_id = response.json()["request_id"]

result = requests.get(
    f"https://api.muapi.ai/api/v1/predictions/{request_id}/result",
    headers={"x-api-key": "YOUR_API_KEY"},
)
print(result.json())

Frequently Asked Questions

How many reference images should I send?

Use the smallest reference pack that captures the subject. Single-reference models need one image, while video models may accept three, seven, ten, or thirty depending on their schema.

Can character consistency models generate video?

Yes. Vidu Q2, Wan 3.0, Veo 3.1, Kling O1, MiniMax H3, and Seedance Omni include reference-to-video options.

Can I use video or audio as a reference?

Some multimodal endpoints accept video or audio in addition to images. Check the selected model's input schema before sending those fields.

Why did my asynchronous reference task fail?

Common causes are an unsupported reference count, an incorrect field name, an inaccessible URL, or a missing model-specific task type. Validate the Playground schema and retry with a smaller pack.

How much does character consistency generation cost?

Representative prices range from free and $0.01 image references to $1.70 for a high-capacity 720p video reference request. The selected model and options determine the final cost.

Can I use one API key for every reference model?

Yes. Muapi uses one API key and the same submit-and-poll pattern across the image and video reference catalog.