## Basic model info

- Model name: bytedance/bytedance seedance-1.5-pro
- Model description: Generate videos with audio with Seedance 1.5.
- Endpoint name: image-to-video


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/bytedance/seedance-1.5-pro/latest.json)

### Model input schema

The model input schema is:



```json
{
  "description": "Input model for image-to-video generation.",
  "properties": {
    "prompt": {
      "description": "Text prompt for video generation",
      "maxLength": 2500,
      "title": "Prompt",
      "type": "string",
      "x-sr-order": 200
    },
    "start_image": {
      "anyOf": [
        {
          "format": "uri",
          "maxLength": 2083,
          "minLength": 1,
          "type": "string"
        },
        {
          "type": "string"
        }
      ],
      "description": "URL of the image to use as the first frame",
      "title": "Start Image",
      "x-sr-order": 301
    },
    "end_image": {
      "anyOf": [
        {
          "format": "uri",
          "maxLength": 2083,
          "minLength": 1,
          "type": "string"
        },
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "URL of the image to use as the last frame",
      "title": "End Image",
      "x-sr-order": 302
    },
    "seed": {
      "description": "Seed of the video generation",
      "maximum": 2147483647,
      "minimum": 0,
      "title": "Seed",
      "type": "integer",
      "x-sr-order": 404
    },
    "camera_fixed": {
      "default": false,
      "description": "Whether to fix the camera position",
      "title": "Camera Fixed",
      "type": "boolean",
      "x-sr-order": 502
    },
    "duration": {
      "default": 5,
      "description": "Duration of the video in seconds",
      "enum": [
        4,
        5,
        6,
        7,
        8,
        9,
        10,
        11,
        12
      ],
      "title": "Duration",
      "type": "integer",
      "x-sr-order": 403
    },
    "generate_audio": {
      "default": true,
      "description": "Whether to generate audio for the video",
      "title": "Generate Audio",
      "type": "boolean",
      "x-sr-order": 501
    },
    "resolution": {
      "default": "720p",
      "description": "Video resolution",
      "enum": [
        "480p",
        "720p",
        "1080p"
      ],
      "title": "Resolution",
      "type": "string",
      "x-sr-order": 401
    }
  },
  "required": [
    "prompt",
    "start_image"
  ],
  "title": "ImageToVideoInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "properties": {
    "video": {
      "properties": {
        "content_type": {
          "description": "The mime type of the file.",
          "title": "Content Type",
          "type": "string"
        },
        "file_name": {
          "description": "The name of the file. It will be auto-generated if not provided.",
          "title": "File Name",
          "type": "string"
        },
        "file_size": {
          "description": "The size of the file in bytes.",
          "title": "File Size",
          "type": "integer"
        },
        "url": {
          "description": "The URL where the file can be downloaded from.",
          "title": "Url",
          "type": "string"
        }
      },
      "required": [
        "content_type",
        "file_name",
        "file_size",
        "url"
      ],
      "title": "SunraFile",
      "type": "object"
    }
  },
  "required": [
    "video"
  ],
  "title": "VideoOutput",
  "type": "object"
}
```



## Example inputs and outputs

Use the following example inputs and outputs to understand the model.

### Input example



```json
{
  "prompt": "",
  "start_image": "",
  "end_image": null,
  "seed": null,
  "camera_fixed": false,
  "duration": 5,
  "generate_audio": true,
  "resolution": "720p"
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



```javascript
import { sunra } from "@sunra/client";

const result = await sunra.subscribe("bytedance/seedance-1.5-pro/image-to-video", {
  input: {
  	prompt: '',
  	start_image: '',
  	end_image: null,
  	resolution: '720p',
  	duration: 5,
  	seed: null,
  	generate_audio: true,
  	camera_fixed: false
  },
  logs: true,
  onQueueUpdate: (update) => {
    console.log(`Status Update: ${update.status}, Request ID: ${update.request_id}`);
  },
});
console.log(result.data);
console.log(result.requestId);
```



### Python



```python
import sunra_client

result = sunra_client.subscribe(
    "bytedance/seedance-1.5-pro/image-to-video",
    arguments={
        "prompt": "",
        "start_image": "",
        "end_image": None,
        "resolution": "720p",
        "duration": 5,
        "seed": None,
        "generate_audio": True,
        "camera_fixed": False
    },
    with_logs=True,
    on_enqueue=print,
    on_queue_update=print,
)
print(result)
```



### Java



```java
import ai.sunra.client.*;
import java.util.Map;
import com.google.gson.JsonObject;

var client = SunraClient.withEnvCredentials();

var response = client.subscribe(
    "bytedance/seedance-1.5-pro/image-to-video",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "prompt", "",
            "start_image", "",
            "end_image", null,
            "resolution", "720p",
            "duration", 5,
            "seed", null,
            "generate_audio", true,
            "camera_fixed", false))
        .resultType(JsonObject.class)
        .onQueueUpdate(update -> System.out.printf(
            "\nStatus Update: %s, Request ID: %s%n",
            update.getStatus(),
            update.getRequestId()
        ))
        .logs(true)
        .build()
);

System.out.println("Completed!");
System.out.println(response.getData());
  
```



### Kotlin



```kotlin
import ai.sunra.client.kt.*
import com.google.gson.JsonObject

val client = createSunraClient()

val response = client.subscribe<JsonObject>(
    endpointId = "bytedance/seedance-1.5-pro/image-to-video",
    input = mapOf(
            "prompt" to "",
            "start_image" to "",
            "end_image" to null,
            "resolution" to "720p",
            "duration" to 5,
            "seed" to null,
            "generate_audio" to true,
            "camera_fixed" to false),
    options = ai.sunra.client.kt.SubscribeOptions(logs = true),
    onUpdate = { update ->
        println("\nStatus Update: ${update.status}, Request ID: ${update.requestId}")
    }
)

println("Completed!")
println(response.data)
  
```



### Curl



```bash

curl --request POST \
  --url https://api.sunra.ai/v1/queue/bytedance/seedance-1.5-pro/image-to-video \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"prompt":"","start_image":"","end_image":null,"resolution":"720p","duration":5,"seed":null,"generate_audio":true,"camera_fixed":false}'
    
```



## Model readme

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