## Basic model info

- Model name: topazlabs/topazlabs hyperion-2.5
- Model description: Topaz Labs Hyperion 2.5 converts SDR video to true HDR. It analyzes luminance frame by frame, reconstructs highlight and shadow detail lost in 8-bit encoding, and outputs 10-bit BT.2020 PQ video (H.265 HDR10 MP4) while preserving text, faces and motion. Ideal for finishing AI-generated footage.
- Endpoint name: sdr-to-hdr


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/topazlabs/hyperion-2.5/latest.json)

### Model input schema

The model input schema is:



```json
{
  "description": "Input model for SDR-to-HDR video conversion.",
  "properties": {
    "video": {
      "anyOf": [
        {
          "format": "uri",
          "maxLength": 2083,
          "minLength": 1,
          "type": "string"
        },
        {
          "type": "string"
        }
      ],
      "description": "URL of the SDR video to convert. Must be an http(s) URL, at most 3840x2160, 60 fps and 5 minutes, with width x height x seconds no greater than 130M and an estimated cost of at most $30. Resolution, frame rate and duration are preserved; the output is 10-bit BT.2020 PQ H.265 in an MP4.",
      "title": "Video",
      "x-sr-order": 201
    }
  },
  "required": [
    "video"
  ],
  "title": "SdrToHdrInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "properties": {
    "fps": {
      "title": "Fps",
      "type": "number"
    },
    "width": {
      "title": "Width",
      "type": "integer"
    },
    "height": {
      "title": "Height",
      "type": "integer"
    },
    "output_video_dur": {
      "title": "Output Video Dur",
      "type": "integer"
    },
    "units": {
      "title": "Units",
      "type": "number"
    },
    "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",
    "output_video_dur",
    "width",
    "height",
    "fps",
    "units"
  ],
  "title": "SdrToHdrOutput",
  "type": "object"
}
```



## Example inputs and outputs

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

### Input example



```json
{
  "video": ""
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



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

const result = await sunra.subscribe("topazlabs/hyperion-2.5/sdr-to-hdr", {
  input: {
  	video: ''
  },
  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(
    "topazlabs/hyperion-2.5/sdr-to-hdr",
    arguments={
        "video": ""
    },

    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(
    "topazlabs/hyperion-2.5/sdr-to-hdr",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "video", ""))

        .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 = "topazlabs/hyperion-2.5/sdr-to-hdr",
    input = mapOf(
            "video" 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/topazlabs/hyperion-2.5/sdr-to-hdr \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"video":""}'
    
```



## Model readme

undefined