Prediction

black-forest-labs/flux-1.1-pro

Official model

black-forest-labs/flux-1.1-pro

ID

0s78r9y3tdrge0cjf05sxnjg8w

Status

Succeeded

Source

Web

Total duration

8.7s

Created

8 months ago by @black-forest-labs

Input

prompt: a beautiful mystical landscape photo with the text "FLUX 1.1 [Pro]", subtle beauty, must say "1.1", incorporate blueberries
aspect_ratio: 1:1
output_format: webp
output_quality: 80
safety_tolerance: 2
prompt_upsampling

{
  "prompt": "a beautiful mystical landscape photo with the text \"FLUX 1.1 [Pro]\", subtle beauty, must say \"1.1\", incorporate blueberries",
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "safety_tolerance": 2,
  "prompt_upsampling": true
}

Install Replicate’s Node.js client library:

npm install replicate

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 = {
  prompt: "a beautiful mystical landscape photo with the text \"FLUX 1.1 [Pro]\", subtle beauty, must say \"1.1\", incorporate blueberries",
  aspect_ratio: "1:1",
  output_format: "webp",
  output_quality: 80,
  safety_tolerance: 2,
  prompt_upsampling: true
};

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

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={
        "prompt": "a beautiful mystical landscape photo with the text \"FLUX 1.1 [Pro]\", subtle beauty, must say \"1.1\", incorporate blueberries",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "safety_tolerance": 2,
        "prompt_upsampling": True
    }
)
print(output)

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

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": {
      "prompt": "a beautiful mystical landscape photo with the text \\"FLUX 1.1 [Pro]\\", subtle beauty, must say \\"1.1\\", incorporate blueberries",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "safety_tolerance": 2,
      "prompt_upsampling": true
    }
  }' \
  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

8.7 seconds

Tweak it ShareReport

Prediction

black-forest-labs/flux-1.1-pro

Official model

black-forest-labs/flux-1.1-pro

ID

11yss2r0gnrge0cjf05rk4np6r

Status

Succeeded

Source

Web

Total duration

8.7s

Created

8 months ago by @black-forest-labs

Input

prompt: black forest gateau cake spelling out the words "FLUX 1.1 Pro", tasty, food photography
aspect_ratio: 1:1
output_format: webp
output_quality: 80
safety_tolerance: 2
prompt_upsampling

{
  "prompt": "black forest gateau cake spelling out the words \"FLUX 1.1 Pro\", tasty, food photography",
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "safety_tolerance": 2,
  "prompt_upsampling": true
}

Install Replicate’s Node.js client library:

npm install replicate

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 = {
  prompt: "black forest gateau cake spelling out the words \"FLUX 1.1 Pro\", tasty, food photography",
  aspect_ratio: "1:1",
  output_format: "webp",
  output_quality: 80,
  safety_tolerance: 2,
  prompt_upsampling: true
};

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

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={
        "prompt": "black forest gateau cake spelling out the words \"FLUX 1.1 Pro\", tasty, food photography",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "safety_tolerance": 2,
        "prompt_upsampling": True
    }
)
print(output)

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

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": {
      "prompt": "black forest gateau cake spelling out the words \\"FLUX 1.1 Pro\\", tasty, food photography",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "safety_tolerance": 2,
      "prompt_upsampling": true
    }
  }' \
  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

8.7 seconds

Tweak it ShareReport

Prediction

black-forest-labs/flux-1.1-pro

Official model

black-forest-labs/flux-1.1-pro

ID

hxvjgf8hmhrge0ckcmdbr6k0km

Status

Succeeded

Source

Web

Total duration

3.8s

Created

7 months ago

Input

prompt: black forest gateau cake spelling out the words "FLUX 1 . 1 Pro", tasty, food photography
aspect_ratio: 1:1
output_format: webp
output_quality: 80
safety_tolerance: 2
prompt_upsampling

{
  "prompt": "black forest gateau cake spelling out the words \"FLUX 1 . 1 Pro\", tasty, food photography",
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "safety_tolerance": 2,
  "prompt_upsampling": true
}

Install Replicate’s Node.js client library:

npm install replicate

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 = {
  prompt: "black forest gateau cake spelling out the words \"FLUX 1 . 1 Pro\", tasty, food photography",
  aspect_ratio: "1:1",
  output_format: "webp",
  output_quality: 80,
  safety_tolerance: 2,
  prompt_upsampling: true
};

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

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={
        "prompt": "black forest gateau cake spelling out the words \"FLUX 1 . 1 Pro\", tasty, food photography",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "safety_tolerance": 2,
        "prompt_upsampling": True
    }
)
print(output)

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

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": {
      "prompt": "black forest gateau cake spelling out the words \\"FLUX 1 . 1 Pro\\", tasty, food photography",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "safety_tolerance": 2,
      "prompt_upsampling": true
    }
  }' \
  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.