Use AI Image Upscaler Precision V2 with Comfy Router

API Reference for freepik/ai-image-upscaler-precision-v2, served by Comfy Router from Freepik.

Quick start

Create a key at platform.comfy.org/profile/api-keys and export it as COMFY_API_KEY. The Python and TypeScript snippets use the Comfy SDKs (pip install comfy-sdk, npm install @comfyorg/sdk); the cURL snippet is the same call over raw HTTP. Model ID: freepik/ai-image-upscaler-precision-v2 Endpoint: POST https://api.comfy.org/v2/models/freepik/ai-image-upscaler-precision-v2

from comfy_sdk import Comfy

# Reads COMFY_API_KEY from the environment. Each call sends a fresh
# Idempotency-Key and waits up to 10 minutes for the finished result.
with Comfy() as client:
    result = client.models.run(
        "freepik/ai-image-upscaler-precision-v2",
        {
            "image": "https://img.magnific.com/free-photo/light-through-mountains_395237-33.jpg?semt=ais_hybrid&w=740&q=80",
            "scale_factor": 8,
        },
    )

print(result)

import { comfy } from "@comfyorg/sdk";

// Reads COMFY_API_KEY from the environment. Each call sends a fresh
// Idempotency-Key and waits up to 10 minutes for the finished result.
const { data } = await comfy.models.run("freepik/ai-image-upscaler-precision-v2", {
  image: "https://img.magnific.com/free-photo/light-through-mountains_395237-33.jpg?semt=ais_hybrid&w=740&q=80",
  scale_factor: 8,
});

console.log(data);

curl https://api.comfy.org/v2/models/freepik/ai-image-upscaler-precision-v2 \
  -H "X-API-Key: $COMFY_API_KEY" \
  -H "Idempotency-Key: $(uuidgen)" \
  -H "Content-Type: application/json" \
  -d "{\"image\": \"https://img.magnific.com/free-photo/light-through-mountains_395237-33.jpg?semt=ais_hybrid&w=740&q=80\", \"scale_factor\": 8}"

Schema

Input

string

Image processing flavor:

sublime: Optimized for artistic and illustrated images
photo: Optimized for photographic images
photo_denoiser: Specialized for photos with noise reduction Possible values: sublime, photo, photo_denoiser

string

required

Source image to upscale. Accepts either:

A publicly accessible HTTPS URL pointing to the image
A base64-encoded image string

integer

Image scaling factor. Determines how much larger the output will be compared to input.Range: 2 to 16

integer

default:"7"

Image sharpness intensity control. Higher values increase edge definition and clarity.Range: 0 to 100

integer

default:"7"

Intelligent grain/texture enhancement. Higher values add more fine-grained texture.Range: 0 to 100

integer

default:"30"

Ultra detail enhancement level. Higher values create more intricate details.Range: 0 to 100

string (uri)

Optional callback URL that will receive asynchronous notifications when the upscaling task completes.Format: uri

Generated from the schema Router serves at GET /v2/models/freepik/ai-image-upscaler-precision-v2/openapi.json, the same document it validates a call against before the request reaches the provider.

Output

Router does not publish an output schema for this model.

Examples

Input

{
  "image": "https://img.magnific.com/free-photo/light-through-mountains_395237-33.jpg?semt=ais_hybrid&w=740&q=80",
  "scale_factor": 8
}

Before you ship

The snippets above are the shortest working call. Three things are the same for every model and are documented once on the Comfy Router headers page: send an Idempotency-Key on every paid call and reuse it when you retry, expect the connection to be held up to Router’s 10 minute deadline, and keep X-Comfy-Request-Id from every response. The SDKs do all three for you; the cURL tab does none of them. On failure, X-Comfy-Error-Type names the bucket, and a 422 means the body failed the model’s schema and was never billed.

Headers

Authentication, idempotency, request IDs, error buckets, retry pacing, spend limits.

Quick Start

Typed error handling in Python and TypeScript, reading the 422, walking the catalog.

Limitations

What Router does not do today, and what to use instead.

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Specifications

Use AI Image Upscaler Precision V2 with Comfy Router

Quick start

Schema

Input

Output

Examples

Input

Before you ship

Headers

Quick Start

Limitations

​Quick start

​Schema

​Input

​Output

​Examples

​Input

​Before you ship

Headers

Quick Start

Limitations

Quick start

Schema

Input

Output

Examples

Input

Before you ship