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
| Output | Price |
|---|---|
| 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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | Yes | - | The image URL to generate an image from. Needs to match the dimensions of the mask. | |
| size | string | No | 1024*1024 | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| seed | integer | No | - | -1 ~ 2147483647 | The random seed to use for the generation. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |