Imagev2.0.0

Flux Schnell

Fast, cheap text-to-image with FLUX.1 [schnell]

4 inputsIMAGE

Run it now Call from code

a red panda barista pulling an espresso shot, warm morning light, shallow depth of field

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 flux-schnell 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("flux-schnell", {
  prompt: { value: "example" },
  steps: { value: 4 },
  width: { value: 1024 },
  height: { value: 1024 },
});

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

blitflow node flux-schnell \
  -i prompt="example" \
  -i steps=4 \
  -i width=1024 \
  -i height=1024

{
  "name": "runs_node",
  "arguments": {
    "node": "flux-schnell",
    "inputs": {
      "prompt": {
        "value": "example"
      },
      "steps": {
        "value": 4
      },
      "width": {
        "value": 1024
      },
      "height": {
        "value": 1024
      }
    }
  }
}

curl https://studio.blitflow.com/api/v1/runs/node \
  -H "Authorization: Bearer $BLITFLOW_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"node":"flux-schnell","inputs":{"prompt":{"value":"example"},"steps":{"value":4},"width":{"value":1024},"height":{"value":1024}}}'

Schema

Inputs

prompt*	TEXT
steps	INT	4
width	INT	1024
height	INT	1024

Outputs

image