Instant Character

Instant Character

Playground

Try it on WavespeedAI!

Instant Character transforms an uploaded character image and a text prompt into styled, action- and mood-driven character renders. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Instant Character — wavespeed-ai/instant-character

Instant Character is an image-guided character generation model that uses a reference image to keep a subject’s identity consistent while you place them into new scenes with a text prompt. Upload a character image, describe what the character is doing and where the scene takes place, and the model generates a new image that preserves the look while adapting pose, clothing details, and environment to match your prompt. It’s especially useful for character consistency across multiple creative iterations.

Key capabilities

  • Reference-image guided character consistency (identity and overall look)
  • Prompt-driven scene creation (action, environment, styling)
  • Works well for generating multiple variations of the same character
  • Custom output size (set width/height directly)
  • Seed control for reproducible outputs

Use cases

  • Create a consistent character for storyboards, comics, or visual novels
  • Generate marketing/lifestyle scenes with the same model/character
  • Outfit, pose, and background variations while keeping identity stable
  • Rapid creative iteration by changing prompt or seed
  • Building character packs for downstream video or design workflows

Pricing

OutputPrice
Per image$0.10

Inputs

  • prompt (required): what the character should do and the scene context
  • image (required): reference character image

Parameters

  • prompt: text instruction (subject action + scene + style)
  • image: reference image (upload or URL)
  • width / height: output size (e.g., 1280×720)
  • seed: random seed (-1 for random; fixed for reproducible results)

Prompting guide

For best consistency, be explicit about “who stays the same” and “what changes”:

Template: Use the same character from the reference image. Place her in [scene]. She is [action]. Style: [photorealistic/cinematic/etc.]. Keep identity consistent.

Example prompts

  • Use the same girl from the reference image. She is playing a guitar on a city street, candid street photography style, warm afternoon light, shallow depth of field, realistic details.
  • Same character, standing in a rainy alley under neon lights, cinematic mood, wet reflections on the ground, subtle fog, 35mm lens look.
  • Same character, sitting in a cozy café reading a book, soft window light, natural colors, calm atmosphere.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/instant-character" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringYes-The image URL to generate an image from. Needs to match the dimensions of the mask.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
seedintegerNo--1 ~ 2147483647The random seed to use for the generation.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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