Topaz Upscale Image API — Creative, Generative & Precision

What is the Topaz Upscale Image API?

Topaz's image-upscaling models increase resolution and detail using deep learning trained specifically for photographic and generated imagery. Three families cover a spectrum from stylized reconstruction to a faithful, pixel-preserving enlargement, all scaling up to 4x.

Muapi exposes all three Topaz families through the same unified REST pattern used across the platform: one API key, one request-and-poll flow, and dynamic pay-as-you-go pricing based on real output resolution. Choose Creative when a more stylized, sharpened look is acceptable, Generative when you need realistic reconstruction of degraded detail, or Precision when the result must stay faithful to the source.

Key Capabilities

Topaz Image Upscale Model Comparison

Pricing is billed dynamically per started block of output megapixels after upscale_factor is applied — see each model's playground page for the exact per-model rate.

How to Upscale an Image with Topaz via API

1. Pick a family. Use Creative for stylized new detail, Generative for realistic reconstruction, or Precision for a faithful enlargement.
2. Host your source image. Upload via POST /api/v1/upload_file or use any publicly reachable image URL.
3. Submit the request. Call POST /api/v1/topaz-upscale-image-creative, /topaz-upscale-image-generative, or /topaz-upscale-image-precision with image_url, model, and upscale_factor.
4. Poll for completion. Check GET /api/v1/predictions/{request_id}/result until status is completed, then download the upscaled image.

curl -X POST https://api.muapi.ai/api/v1/topaz-upscale-image-creative \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "image_url": "https://example.com/photo.jpg",
    "model": "Bloom 2",
    "upscale_factor": 2,
    "creativity": 5
  }'

import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/topaz-upscale-image-creative",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={
        "image_url": "https://example.com/photo.jpg",
        "model": "Bloom 2",
        "upscale_factor": 2,
        "creativity": 5,
    },
)
request_id = response.json()["request_id"]

result = requests.get(
    f"https://api.muapi.ai/api/v1/predictions/{request_id}/result",
    headers={"x-api-key": "YOUR_API_KEY"},
)
print(result.json())

Frequently Asked Questions