Prediction

Official model

black-forest-labs/flux-1.1-pro

ajfrva4p4hrge0cjaf3bncfwn4

Status

Succeeded

Source

Web

Total duration

33.2s

Created

about 2 years ago by pcchip

Webhook

–

Input

prompt: 486 computer with CRT monitor, displaying programmer code in monochrome green, smoky dark bedroom, photo taken in the early 90's, photorealistic
aspect_ratio: 1:1
safety_tolerance: 2
prompt_upsampling: true
output_format: webp
output_quality: 80

{
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "486 computer with CRT monitor, displaying programmer code in monochrome green, smoky dark bedroom, photo taken in the early 90's, photorealistic",
  "prompt_upsampling": true,
  "safety_tolerance": 2
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Arz**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run black-forest-labs/flux-1.1-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "1:1",
  output_format: "webp",
  output_quality: 80,
  prompt: "486 computer with CRT monitor, displaying programmer code in monochrome green, smoky dark bedroom, photo taken in the early 90's, photorealistic",
  prompt_upsampling: true,
  safety_tolerance: 2
};

const output = await replicate.run("black-forest-labs/flux-1.1-pro", { input });

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Arz**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run black-forest-labs/flux-1.1-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "black-forest-labs/flux-1.1-pro",
    input={
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "486 computer with CRT monitor, displaying programmer code in monochrome green, smoky dark bedroom, photo taken in the early 90's, photorealistic",
        "prompt_upsampling": True,
        "safety_tolerance": 2
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Arz**********************************

This is your API token. Keep it to yourself.

Run black-forest-labs/flux-1.1-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "input": {
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "486 computer with CRT monitor, displaying programmer code in monochrome green, smoky dark bedroom, photo taken in the early 90\'s, photorealistic",
      "prompt_upsampling": true,
      "safety_tolerance": 2
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-1.1-pro/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

33.1 seconds

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