Imagev1.0.0

Pruna Upscale

Upscale to a target megapixel count, up to 128 MP.

5 inputsIMAGE

Run it now Call from code

Upscaled to 4 megapixels

Output

Fill in the inputs and run the node to see its output here.

Run it from your code

The same node, called by id from any surface. Every tab pins p-image-upscale and passes the ports below. Full guide.

import { BlitClient } from "@blitflow/sdk";

const { runNode } = new BlitClient({ apiKey: process.env.BLITFLOW_TOKEN });

const { outputs } = await runNode("p-image-upscale", {
  image: { ref: "https://..." },
  targetMegapixels: { value: 4 },
  enhanceDetails: { value: false },
  enhanceRealism: { value: false },
  outputFormat: { value: "jpg" },
});

# Install once, then sign in
npm install -g blitflow
blitflow login

blitflow node p-image-upscale \
  -i image=@https://... \
  -i targetMegapixels=4 \
  -i enhanceDetails=false \
  -i enhanceRealism=false \
  -i outputFormat="jpg"

{
  "name": "runs_node",
  "arguments": {
    "node": "p-image-upscale",
    "inputs": {
      "image": {
        "ref": "https://..."
      },
      "targetMegapixels": {
        "value": 4
      },
      "enhanceDetails": {
        "value": false
      },
      "enhanceRealism": {
        "value": false
      },
      "outputFormat": {
        "value": "jpg"
      }
    }
  }
}

curl https://studio.blitflow.com/api/v1/runs/node \
  -H "Authorization: Bearer $BLITFLOW_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"node":"p-image-upscale","inputs":{"image":{"ref":"https://..."},"targetMegapixels":{"value":4},"enhanceDetails":{"value":false},"enhanceRealism":{"value":false},"outputFormat":{"value":"jpg"}}}'

Schema

Inputs

image*	IMAGE
targetMegapixels	INT		4
enhanceDetails	BOOLEAN		false
enhanceRealism	BOOLEAN		false
outputFormat	TEXT	webp · jpg · png	jpg

Outputs

image