## Basic model info - Model name: bytedance/bytedance seedream-5.0-flash - Model description: Fast, cost-efficient Seedream 5.0 image generation with multi-reference editing and editable layer decomposition. - Endpoint name: layerize ## Model schema The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/bytedance/seedream-5.0-flash/a5de3f0ac9fefd6e6d291f0105d486b4f8b7970e.json) ### Model input schema The model input schema is: ```json { "properties": { "prompt": { "default": "", "description": "Optional instructions describing which elements to separate.", "title": "Prompt", "type": "string", "x-sr-order": 201 }, "enable_safety_checker": { "default": true, "description": "Whether to enable the safety checker.", "title": "Enable Safety Checker", "type": "boolean", "x-sr-order": 501 }, "image": { "anyOf": [ { "format": "uri", "maxLength": 2083, "minLength": 1, "type": "string" }, { "type": "string" } ], "description": "URL of the image to decompose into a base image and independently editable layers.", "title": "Image", "x-sr-order": 301 }, "resolution": { "default": "auto", "description": "Resolution tier for the base image and layers.", "enum": [ "auto", "1K", "1.5K", "2K" ], "title": "Resolution", "type": "string", "x-sr-order": 401 } }, "required": [ "image" ], "title": "LayerizeInput", "type": "object" } ``` ### Model output schema The model output schema is: ```json { "anyOf": [ { "properties": { "images": { "items": { "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" }, "title": "Images", "type": "array" } }, "required": [ "images" ], "title": "ImagesOutput", "type": "object" }, { "properties": { "layers": { "description": "The base image followed by separated layers.", "items": { "properties": { "bounding_box": { "anyOf": [ { "properties": { "absolute": { "description": "[left, top, right, bottom] pixel coordinates.", "items": { "type": "integer" }, "maxItems": 4, "minItems": 4, "title": "Absolute", "type": "array" }, "normalized": { "description": "[left, top, right, bottom] coordinates normalized to [0, 1000].", "items": { "type": "integer" }, "maxItems": 4, "minItems": 4, "title": "Normalized", "type": "array" } }, "required": [ "absolute", "normalized" ], "title": "LayerBoundingBox", "type": "object" }, { "type": "null" } ] }, "description": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "title": "Description" }, "image": { "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" }, "name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "title": "Name" }, "z_index": { "description": "Stacking order; the base image is 0.", "maximum": 16, "minimum": 0, "title": "Z Index", "type": "integer" } }, "required": [ "image", "z_index" ], "title": "ImageLayer", "type": "object" }, "maxItems": 17, "minItems": 1, "title": "Layers", "type": "array" }, "units": { "description": "Billable output units reported by fal, or the returned layer count if the header is absent.", "exclusiveMinimum": 0, "title": "Units", "type": "number" } }, "required": [ "layers", "units" ], "title": "LayerizeOutput", "type": "object" } ], "title": "Response Get Request Result Requests Request Id Get" } ``` ## Example inputs and outputs Use the following example inputs and outputs to understand the model. ### Input example ```json { "prompt": "", "enable_safety_checker": true, "image": "", "resolution": "auto" } ``` ### Output example ```json { } ``` ## Model code examples ### JavaScript ```javascript import { sunra } from "@sunra/client"; const result = await sunra.subscribe("bytedance/seedream-5.0-flash/layerize", { input: { prompt: '', image: '', resolution: 'auto', enable_safety_checker: true }, 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/seedream-5.0-flash/layerize", arguments={ "prompt": "", "image": "", "resolution": "auto", "enable_safety_checker": True }, 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/seedream-5.0-flash/layerize", SubscribeOptions.builder() .input(Map.of( "prompt", "", "image", "", "resolution", "auto", "enable_safety_checker", true)) .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/seedream-5.0-flash/layerize", input = mapOf( "prompt" to "", "image" to "", "resolution" to "auto", "enable_safety_checker" to true), 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/seedream-5.0-flash/layerize \ --header "Authorization: Key $SUNRA_KEY" \ --header "Content-Type: application/json" \ --data '{"prompt":"","image":"","resolution":"auto","enable_safety_checker":true}' ``` ## Model readme >