## Basic model info - Model name: veed/veed fabric-1.0 - Model description: Turn a portrait image and up to 60 seconds of audio into a synchronized talking video at 480p or 720p. - Endpoint name: image-to-video ## Model schema The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/veed/fabric-1.0/a5de3f0ac9fefd6e6d291f0105d486b4f8b7970e.json) ### Model input schema The model input schema is: ```json { "additionalProperties": false, "properties": { "image_url": { "description": "Public HTTP(S) source image, strictly under 10 MB.", "maxLength": 8192, "minLength": 1, "pattern": "^https?://", "title": "Image Url", "type": "string", "x-sr-order": 301 }, "audio_url": { "description": "Public HTTP(S) speech audio, strictly under 10 MB and at most 60 seconds for launch.", "maxLength": 8192, "minLength": 1, "pattern": "^https?://", "title": "Audio Url", "type": "string", "x-sr-order": 302 }, "resolution": { "description": "Required output resolution.", "enum": [ "480p", "720p" ], "title": "Resolution", "type": "string", "x-sr-order": 401 } }, "required": [ "image_url", "audio_url", "resolution" ], "title": "ImageToVideoInput", "type": "object" } ``` ### Model output schema The model output schema is: ```json { "properties": { "input_audio_dur": { "exclusiveMinimum": 0, "maximum": 60, "title": "Input Audio Dur", "type": "number" }, "output_video_dur": { "exclusiveMinimum": 0, "maximum": 60, "title": "Output Video Dur", "type": "number" }, "resolution": { "enum": [ "480p", "720p" ], "title": "Resolution", "type": "string" }, "units": { "description": "VEED terminal credits charged; one unit is USD 0.01.", "exclusiveMinimum": 0, "title": "Units", "type": "integer" }, "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", "units", "resolution", "input_audio_dur", "output_video_dur" ], "title": "FabricOutput", "type": "object" } ``` ## Example inputs and outputs Use the following example inputs and outputs to understand the model. ### Input example ```json { "image_url": "", "audio_url": "", "resolution": "" } ``` ### Output example ```json { } ``` ## Model code examples ### JavaScript ```javascript import { sunra } from "@sunra/client"; const result = await sunra.subscribe("veed/fabric-1.0/image-to-video", { input: { image_url: '', audio_url: '', resolution: '' }, 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( "veed/fabric-1.0/image-to-video", arguments={ "image_url": "", "audio_url": "", "resolution": "" }, 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( "veed/fabric-1.0/image-to-video", SubscribeOptions.builder() .input(Map.of( "image_url", "", "audio_url", "", "resolution", "")) .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 = "veed/fabric-1.0/image-to-video", input = mapOf( "image_url" to "", "audio_url" to "", "resolution" to ""), 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/veed/fabric-1.0/image-to-video \ --header "Authorization: Key $SUNRA_KEY" \ --header "Content-Type: application/json" \ --data '{"image_url":"","audio_url":"","resolution":""}' ``` ## Model readme undefined