## Basic model info - Model name: midjourney/midjourney v8.1-reverse - Model description: Generate and edit images with Midjourney v8.1 via reverse-engineered channel. - Endpoint name: image-editing ## Model schema The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/midjourney/v8.1-reverse/latest.json) ### Model input schema The model input schema is: ```json { "description": "Input model for image editing.", "properties": { "prompt": { "description": "Text prompt describing the desired edits", "title": "Prompt", "type": "string", "x-sr-order": 201 }, "aspect_ratio": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "description": "Output aspect ratio, e.g. '1:1', '16:9', '9:16', '3:4', '4:3'", "title": "Aspect Ratio", "x-sr-order": 401 }, "seed": { "anyOf": [ { "maximum": 4294967295, "minimum": 0, "type": "integer" }, { "type": "null" } ], "description": "Seed number for reproducible results", "title": "Seed", "x-sr-order": 404 }, "negative_prompt": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "description": "Elements to exclude from the image, e.g. 'text, watermark'", "title": "Negative Prompt", "x-sr-order": 407 }, "chaos": { "anyOf": [ { "maximum": 100, "minimum": 0, "type": "integer" }, { "type": "null" } ], "description": "How varied the results will be. Range 0–100", "title": "Chaos", "x-sr-order": 403 }, "image": { "anyOf": [ { "format": "uri", "maxLength": 2083, "minLength": 1, "type": "string" }, { "type": "string" } ], "description": "Source image URL to be edited", "title": "Image", "x-sr-order": 301 }, "mask_image": { "anyOf": [ { "format": "uri", "maxLength": 2083, "minLength": 1, "type": "string" }, { "type": "string" }, { "type": "null" } ], "description": "Optional mask image URL for selective editing", "title": "Mask Image", "x-sr-order": 302 }, "mode": { "default": "fast", "description": "Generation mode: slow for higher quality, fast for quicker results, turbo for the fastest results", "enum": [ "slow", "fast", "turbo" ], "title": "Mode", "type": "string", "x-sr-order": 101 }, "stop": { "anyOf": [ { "maximum": 100, "minimum": 10, "type": "integer" }, { "type": "null" } ], "description": "Stop generation early at the specified percentage. Range 10–100", "title": "Stop", "x-sr-order": 405 }, "stylize": { "anyOf": [ { "maximum": 1000, "minimum": 0, "type": "integer" }, { "type": "null" } ], "description": "How strongly Midjourney's default aesthetic is applied. Range 0–1000, default 100", "title": "Stylize", "x-sr-order": 402 }, "weird": { "anyOf": [ { "maximum": 3000, "minimum": 0, "type": "integer" }, { "type": "null" } ], "description": "Injects quirky and offbeat qualities. Range 0–3000", "title": "Weird", "x-sr-order": 406 } }, "required": [ "prompt", "image" ], "title": "ImageEditingInput", "type": "object" } ``` ### Model output schema The model output schema is: ```json { "properties": { "action_type": { "title": "Action Type", "type": "string" }, "images": { "items": { "properties": { "actions": { "items": { "properties": { "custom_id": { "title": "Custom Id", "type": "string" }, "label": { "title": "Label", "type": "string" }, "task_id": { "title": "Task Id", "type": "string" } }, "required": [ "task_id", "custom_id", "label" ], "title": "ImageS1OutputActionItem", "type": "object" }, "title": "Actions", "type": "array" }, "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", "actions" ], "title": "ImageS1ImageOutputItem", "type": "object" }, "title": "Images", "type": "array" }, "mode": { "title": "Mode", "type": "string" }, "units_used": { "title": "Units Used", "type": "integer" } }, "required": [ "images", "action_type", "mode", "units_used" ], "title": "ImageS1Output", "type": "object" } ``` ## Example inputs and outputs Use the following example inputs and outputs to understand the model. ### Input example ```json { "prompt": "", "aspect_ratio": null, "seed": null, "negative_prompt": null, "chaos": null, "image": "", "mask_image": null, "mode": "fast", "stop": null, "stylize": null, "weird": null } ``` ### Output example ```json { } ``` ## Model code examples ### JavaScript ```javascript import { sunra } from "@sunra/client"; const result = await sunra.subscribe("midjourney/v8.1-reverse/image-editing", { input: { prompt: '', image: '', mode: 'fast', mask_image: null, aspect_ratio: null, stylize: null, chaos: null, seed: null, stop: null, weird: null, negative_prompt: 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( "midjourney/v8.1-reverse/image-editing", arguments={ "prompt": "", "image": "", "mode": "fast", "mask_image": None, "aspect_ratio": None, "stylize": None, "chaos": None, "seed": None, "stop": None, "weird": None, "negative_prompt": 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( "midjourney/v8.1-reverse/image-editing", SubscribeOptions.builder() .input(Map.of( "prompt", "", "image", "", "mode", "fast", "mask_image", null, "aspect_ratio", null, "stylize", null, "chaos", null, "seed", null, "stop", null, "weird", null, "negative_prompt", 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 = "midjourney/v8.1-reverse/image-editing", input = mapOf( "prompt" to "", "image" to "", "mode" to "fast", "mask_image" to null, "aspect_ratio" to null, "stylize" to null, "chaos" to null, "seed" to null, "stop" to null, "weird" to null, "negative_prompt" 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/midjourney/v8.1-reverse/image-editing \ --header "Authorization: Key $SUNRA_KEY" \ --header "Content-Type: application/json" \ --data '{"prompt":"","image":"","mode":"fast","mask_image":null,"aspect_ratio":null,"stylize":null,"chaos":null,"seed":null,"stop":null,"weird":null,"negative_prompt":null}' ``` ## Model readme >