## Basic model info - Model name: bytedance/bytedance seedance-1.5-pro - Model description: Generate videos with audio with Seedance 1.5. - Endpoint name: text-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 text-to-video generation.", "properties": { "prompt": { "description": "Text prompt for video generation", "maxLength": 2500, "title": "Prompt", "type": "string", "x-sr-order": 200 }, "aspect_ratio": { "default": "16:9", "description": "Aspect ratio of the video", "enum": [ "21:9", "16:9", "4:3", "1:1", "3:4", "9:16", "auto" ], "title": "Aspect Ratio", "type": "string", "x-sr-order": 402 }, "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" ], "title": "TextToVideoInput", "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": "", "aspect_ratio": "16:9", "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/text-to-video", { input: { prompt: '', resolution: '720p', aspect_ratio: '16:9', 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/text-to-video", arguments={ "prompt": "", "resolution": "720p", "aspect_ratio": "16:9", "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/text-to-video", SubscribeOptions.builder() .input(Map.of( "prompt", "", "resolution", "720p", "aspect_ratio", "16:9", "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( endpointId = "bytedance/seedance-1.5-pro/text-to-video", input = mapOf( "prompt" to "", "resolution" to "720p", "aspect_ratio" to "16:9", "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/text-to-video \ --header "Authorization: Key $SUNRA_KEY" \ --header "Content-Type: application/json" \ --data '{"prompt":"","resolution":"720p","aspect_ratio":"16:9","duration":5,"seed":null,"generate_audio":true,"camera_fixed":false}' ``` ## Model readme >