Imagev1.0.0

GPT Image 2

Text-to-image with GPT Image 2, optionally guided by a reference image

4 inputsIMAGE

Run it now Call from code

Demo coming soon

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 gpt-image-2 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("gpt-image-2", {
  prompt: { value: "example" },
  image: { ref: "https://..." },
  size: { value: "1024x1024" },
  quality: { value: "medium" },
});

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

blitflow node gpt-image-2 \
  -i prompt="example" \
  -i image=@https://... \
  -i size="1024x1024" \
  -i quality="medium"

{
  "name": "runs_node",
  "arguments": {
    "node": "gpt-image-2",
    "inputs": {
      "prompt": {
        "value": "example"
      },
      "image": {
        "ref": "https://..."
      },
      "size": {
        "value": "1024x1024"
      },
      "quality": {
        "value": "medium"
      }
    }
  }
}

curl https://studio.blitflow.com/api/v1/runs/node \
  -H "Authorization: Bearer $BLITFLOW_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"node":"gpt-image-2","inputs":{"prompt":{"value":"example"},"image":{"ref":"https://..."},"size":{"value":"1024x1024"},"quality":{"value":"medium"}}}'

Schema

Inputs

prompt*	TEXT
image	IMAGE	Reference image
size	TEXT	1024x1024 · 1536x1024 · 1024x1536	1024x1024
quality	TEXT	low · medium · high	medium

Outputs

image