## Basic model info - Model name: openai/openai gpt-image-2-azure - Model description: GPT Image 2 via Azure OpenAI produces highly detailed, aesthetically refined images with strong prompt adherence, supporting arbitrary resolutions, transparent backgrounds, and image editing. - Endpoint name: image-editing ## Model schema The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/openai/gpt-image-2-azure/latest.json) ### Model input schema The model input schema is: ```json { "properties": { "prompt": { "minLength": 1, "title": "Prompt", "type": "string", "x-sr-order": 201 }, "width": { "anyOf": [ { "exclusiveMaximum": 3840, "minimum": 16, "type": "integer" }, { "type": "null" } ], "description": "Output width in pixels. Must be a multiple of 16. When omitted, the API preserves the source image dimensions. Constraints: max edge < 3840px, long/short ratio ≤ 3:1, total pixels between 655,360 and 8,294,400.", "title": "Width", "x-sr-order": 401 }, "height": { "anyOf": [ { "exclusiveMaximum": 3840, "minimum": 16, "type": "integer" }, { "type": "null" } ], "description": "Output height in pixels. Must be a multiple of 16. Must be set together with width.", "title": "Height", "x-sr-order": 402 }, "background": { "default": "auto", "description": "Background transparency. transparent requires png or webp output format.", "enum": [ "auto", "transparent", "opaque" ], "title": "Background", "type": "string", "x-sr-order": 404 }, "images": { "description": "URLs of input images to edit. Up to 16 images supported.", "items": { "anyOf": [ { "format": "uri", "maxLength": 2083, "minLength": 1, "type": "string" }, { "type": "string" } ] }, "maxItems": 16, "minItems": 1, "title": "Images", "type": "array", "x-sr-order": 301 }, "mask": { "anyOf": [ { "format": "uri", "maxLength": 2083, "minLength": 1, "type": "string" }, { "type": "string" }, { "type": "null" } ], "description": "Mask image URL. White areas are edited, black areas are kept.", "title": "Mask", "x-sr-order": 302 }, "n": { "default": 1, "description": "Number of edited images to generate. Must be between 1 and 10.", "maximum": 10, "minimum": 1, "title": "N", "type": "integer", "x-sr-order": 202 }, "output_compression": { "anyOf": [ { "maximum": 100, "minimum": 0, "type": "integer" }, { "type": "null" } ], "description": "Compression level (0-100) for jpeg or webp output formats.", "title": "Output Compression", "x-sr-order": 406 }, "output_format": { "default": "png", "enum": [ "png", "jpeg", "webp" ], "title": "Output Format", "type": "string", "x-sr-order": 405 }, "quality": { "default": "auto", "enum": [ "auto", "high", "medium", "low" ], "title": "Quality", "type": "string", "x-sr-order": 403 } }, "required": [ "prompt", "images" ], "title": "ImageEditingInput", "type": "object" } ``` ### Model output schema The model output schema is: ```json { "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" } ``` ## Example inputs and outputs Use the following example inputs and outputs to understand the model. ### Input example ```json { "prompt": "", "width": null, "height": null, "background": "auto", "images": [ ], "mask": null, "n": 1, "output_compression": null, "output_format": "png", "quality": "auto" } ``` ### Output example ```json { } ``` ## Model code examples ### JavaScript ```javascript import { sunra } from "@sunra/client"; const result = await sunra.subscribe("openai/gpt-image-2-azure/image-editing", { input: { prompt: '', n: 1, images: [], mask: null, width: null, height: null, quality: 'auto', background: 'auto', output_format: 'png', output_compression: null }, 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( "openai/gpt-image-2-azure/image-editing", arguments={ "prompt": "", "n": 1, "images": [], "mask": None, "width": None, "height": None, "quality": "auto", "background": "auto", "output_format": "png", "output_compression": None }, 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( "openai/gpt-image-2-azure/image-editing", SubscribeOptions.builder() .input(Map.of( "prompt", "", "n", 1, "images", , "mask", null, "width", null, "height", null, "quality", "auto", "background", "auto", "output_format", "png", "output_compression", null)) .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 = "openai/gpt-image-2-azure/image-editing", input = mapOf( "prompt" to "", "n" to 1, "images" to , "mask" to null, "width" to null, "height" to null, "quality" to "auto", "background" to "auto", "output_format" to "png", "output_compression" to null), 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/openai/gpt-image-2-azure/image-editing \ --header "Authorization: Key $SUNRA_KEY" \ --header "Content-Type: application/json" \ --data '{"prompt":"","n":1,"images":[],"mask":null,"width":null,"height":null,"quality":"auto","background":"auto","output_format":"png","output_compression":null}' ``` ## Model readme >