## Basic model info

- Model name: ideogram/ideogram ideogram-vector-1
- Model description: Ideogram Vector 1.0 is Ideogram's first vector model: it generates clean, editable SVGs with smooth gradients and sharp typography from a text prompt, optionally guided by up to 5 reference images, or converts an existing image into a scalable SVG. text-to-vector $0.13 / $0.16 / $0.20 per SVG at low / medium / high quality ($0.32 high with references); image-to-vector $0.10 per SVG.
- Endpoint name: image-to-vector


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/ideogram/ideogram-vector-1/latest.json)

### Model input schema

The model input schema is:



```json
{
  "description": "Input model for Ideogram Vector image-to-vector (vectorize).",
  "properties": {
    "image": {
      "anyOf": [
        {
          "format": "uri",
          "maxLength": 2083,
          "minLength": 1,
          "type": "string"
        },
        {
          "type": "string"
        }
      ],
      "description": "Image to convert to SVG (public URL; JPEG, PNG or WebP, up to 50 MB)",
      "title": "Image",
      "x-sr-order": 301
    },
    "mode": {
      "default": "default",
      "description": "default preserves finer details; simple uses fewer, simpler shapes. Same price",
      "enum": [
        "default",
        "simple"
      ],
      "title": "Mode",
      "type": "string",
      "x-sr-order": 401
    }
  },
  "required": [
    "image"
  ],
  "title": "ImageToVectorInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "anyOf": [
    {
      "description": "Generated SVG files plus the final USD amount for billing.",
      "properties": {
        "seed": {
          "anyOf": [
            {
              "type": "integer"
            },
            {
              "type": "null"
            }
          ],
          "description": "Seed used for generation, if provided",
          "title": "Seed"
        },
        "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"
        },
        "units": {
          "description": "Final billable amount in USD (per-SVG rate x returned SVG count)",
          "title": "Units",
          "type": "number"
        }
      },
      "required": [
        "images",
        "units"
      ],
      "title": "TextToVectorOutput",
      "type": "object"
    },
    {
      "description": "The vectorized SVG file.",
      "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": "ImageToVectorOutput",
      "type": "object"
    }
  ],
  "title": "Response Get Request Result Requests  Request Id  Get"
}
```



## Example inputs and outputs

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

### Input example



```json
{
  "image": "",
  "mode": "default"
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



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

const result = await sunra.subscribe("ideogram/ideogram-vector-1/image-to-vector", {
  input: {
  	image: '',
  	mode: 'default'
  },
  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(
    "ideogram/ideogram-vector-1/image-to-vector",
    arguments={
        "image": "",
        "mode": "default"
    },

    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(
    "ideogram/ideogram-vector-1/image-to-vector",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "image", "",
            "mode", "default"))

        .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 = "ideogram/ideogram-vector-1/image-to-vector",
    input = mapOf(
            "image" to "",
            "mode" to "default"),
    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/ideogram/ideogram-vector-1/image-to-vector \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"image":"","mode":"default"}'
    
```



## Model readme

>