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Image Super Resolution

Use SeedVR2 to restore low-resolution, compressed, or mildly blurred images and enhance fine details while preserving the original content and composition. It is suitable for restoring older assets, repurposing content, and preparing high-resolution deliverables.

Typical Application Scenarios

  • Low-resolution restoration: Reduce compression artifacts, mild blur, and missing fine details.
  • Content enhancement: Upgrade older or small-format assets for high-resolution presentation.
  • Workflow preprocessing: Improve source-image quality before image editing or 3D reconstruction.

Best Practices

TIP

  • Only the seedvr2 model is currently supported.
  • Use an image with a recognizable subject and no severe occlusion. Super resolution can enhance existing details but cannot reliably reconstruct content that is entirely missing.
  • Inputs may be a returned asset_path, Base64 image data, or a publicly accessible HTTPS URL.

API Reference used on this page POST /images/processes

Basic Examples

bash
curl -X POST 'https://api.v2fun.ai/api/v1/images/processes' \
  -H 'Authorization: Bearer $V2FUN_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
      "model": "seedvr2",
      "input_image": "https://asset.v2fun.ai/upload/img-basic.png"
    }'
javascript
const response = await fetch('https://api.v2fun.ai/api/v1/images/processes', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer $V2FUN_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "model": "seedvr2",
    "input_image": "https://asset.v2fun.ai/upload/img-basic.png"
  }),
});
const data = await response.json();
python
import requests

resp = requests.post(
    'https://api.v2fun.ai/api/v1/images/processes',
    headers={
        'Authorization': 'Bearer $V2FUN_API_KEY',
        'Content-Type': 'application/json',
    },
    json={
        "model": "seedvr2",
        "input_image": "https://asset.v2fun.ai/upload/img-basic.png"
    },
)
print(resp.json())
java
import java.net.URI;
import java.net.http.*;

HttpClient client = HttpClient.newHttpClient();
String body = "{\"model\":\"seedvr2\",\"input_image\":\"https://asset.v2fun.ai/upload/img-basic.png\"}";
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.v2fun.ai/api/v1/images/processes"))
    .header("Authorization", "Bearer $V2FUN_API_KEY")
    .header("Content-Type", "application/json")
    .POST(HttpRequest.BodyPublishers.ofString(body))
    .build();
HttpResponse<String> response = client.send(
    request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());