## Basic model info

- Model name: bria/bria increase-resolution
- Model description: Bria Increase Resolution upscales an image 2x or 4x, up to 8192x8192, without regenerating or altering its content; optional alpha and colour preservation. $0.04 per image for either factor.
- Endpoint name: image


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/bria/increase-resolution/latest.json)

### Model input schema

The model input schema is:



```json
{
  "description": "Input schema for Bria Increase Resolution (faithful 2x/4x upscaling, no regeneration).",
  "properties": {
    "image": {
      "anyOf": [
        {
          "format": "uri",
          "maxLength": 2083,
          "minLength": 1,
          "type": "string"
        },
        {
          "type": "string"
        }
      ],
      "description": "Image to upscale (public URL). The output is limited to 8192x8192, so 4x needs an input of 2048 px per side or less.",
      "title": "Image",
      "x-sr-order": 301
    },
    "output_format": {
      "default": "png",
      "description": "Output format. JPEG carries no alpha channel.",
      "enum": [
        "png",
        "jpeg"
      ],
      "title": "Output Format",
      "type": "string",
      "x-sr-order": 402
    },
    "preserve_alpha": {
      "default": true,
      "description": "Reattach the source alpha channel to the result (PNG only).",
      "title": "Preserve Alpha",
      "type": "boolean",
      "x-sr-order": 403
    },
    "preserve_color": {
      "default": false,
      "description": "Correct any colour cast in the upscaled result against the source image.",
      "title": "Preserve Color",
      "type": "boolean",
      "x-sr-order": 404
    },
    "scale": {
      "default": 2,
      "description": "Upscale factor. Same price for 2x and 4x.",
      "enum": [
        2,
        4
      ],
      "title": "Scale",
      "type": "integer",
      "x-sr-order": 401
    }
  },
  "required": [
    "image"
  ],
  "title": "ImageInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "properties": {
    "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"
    }
  },
  "required": [
    "image"
  ],
  "title": "ImageOutput",
  "type": "object"
}
```



## Example inputs and outputs

Use the following example inputs and outputs to understand the model.

### Input example



```json
{
  "image": "",
  "output_format": "png",
  "preserve_alpha": true,
  "preserve_color": false,
  "scale": 2
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



```javascript
import { sunra } from "@sunra/client";

const result = await sunra.subscribe("bria/increase-resolution/image", {
  input: {
  	image: '',
  	scale: 2,
  	output_format: 'png',
  	preserve_alpha: true,
  	preserve_color: 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(
    "bria/increase-resolution/image",
    arguments={
        "image": "",
        "scale": 2,
        "output_format": "png",
        "preserve_alpha": True,
        "preserve_color": 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(
    "bria/increase-resolution/image",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "image", "",
            "scale", 2,
            "output_format", "png",
            "preserve_alpha", true,
            "preserve_color", 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<JsonObject>(
    endpointId = "bria/increase-resolution/image",
    input = mapOf(
            "image" to "",
            "scale" to 2,
            "output_format" to "png",
            "preserve_alpha" to true,
            "preserve_color" 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/bria/increase-resolution/image \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"image":"","scale":2,"output_format":"png","preserve_alpha":true,"preserve_color":false}'
    
```



## Model readme

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