Prediction

prunaai/flux.1-dev:6ee81ffe35d342a8fecaa47854824401caf367808090fa39eb78e781516419f2

Model

prunaai/flux.1-dev:6ee81ffe

ID

kay3qnyxmsrme0cpxnmtg6wgag

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.3s

Created

about 2 months ago

Input

seed: -1
prompt: a red apple
guidance: 3.5
image_size: 1024
speed_mode: Extra Juiced 🔥 (more speed)
aspect_ratio: 1:1
output_format: webp
output_quality: 80
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "a red apple",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Extra Juiced 🔥 (more speed)",
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:6ee81ffe35d342a8fecaa47854824401caf367808090fa39eb78e781516419f2",
  {
    input: {
      seed: -1,
      prompt: "a red apple",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Extra Juiced 🔥 (more speed)",
      aspect_ratio: "1:1",
      output_format: "webp",
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:6ee81ffe35d342a8fecaa47854824401caf367808090fa39eb78e781516419f2",
    input={
        "seed": -1,
        "prompt": "a red apple",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Extra Juiced 🔥 (more speed)",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:6ee81ffe35d342a8fecaa47854824401caf367808090fa39eb78e781516419f2",
    "input": {
      "seed": -1,
      "prompt": "a red apple",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Extra Juiced 🔥 (more speed)",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.3 seconds

Tweak it Share Report

Prediction

prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21

Model

prunaai/flux.1-dev:56af91e9

ID

nwdxqf9aj1rm80cpxqksvdbra4

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.0s

Created

about 2 months ago

Input

seed: -1
prompt: a red apple
guidance: 3.5
image_size: 1024
speed_mode: Blink of an eye 👁️
aspect_ratio: 1:1
output_format: webp
output_quality: 80
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "a red apple",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Blink of an eye 👁️",
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
  {
    input: {
      seed: -1,
      prompt: "a red apple",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Blink of an eye 👁️",
      aspect_ratio: "1:1",
      output_format: "webp",
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
    input={
        "seed": -1,
        "prompt": "a red apple",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Blink of an eye 👁️",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
    "input": {
      "seed": -1,
      "prompt": "a red apple",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Blink of an eye 👁️",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.0 second

Tweak it Share Report

Prediction

prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21

Model

prunaai/flux.1-dev:56af91e9

ID

wgrgz98nd5rmc0cpxr3bs43m1w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.3s

Created

about 2 months ago

Input

seed: -1
prompt: a cat
guidance: 3.5
image_size: 1024
speed_mode: Extra Juiced 🔥 (more speed)
aspect_ratio: 1:1
output_format: webp
output_quality: 80
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "a cat",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Extra Juiced 🔥 (more speed)",
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
  {
    input: {
      seed: -1,
      prompt: "a cat",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Extra Juiced 🔥 (more speed)",
      aspect_ratio: "1:1",
      output_format: "webp",
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
    input={
        "seed": -1,
        "prompt": "a cat",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Extra Juiced 🔥 (more speed)",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
    "input": {
      "seed": -1,
      "prompt": "a cat",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Extra Juiced 🔥 (more speed)",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.3 seconds

Tweak it Share Report

Prediction

prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21

Model

prunaai/flux.1-dev:56af91e9

ID

9r8dx8gx35rmc0cpzpzrm9wqrg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.5s

Created

about 1 month ago

Input

seed: -1
prompt: a cat jumping in the air to catch a bird
guidance: 3.5
image_size: 1024
speed_mode: Juiced 🔥 (default)
aspect_ratio: 1:1
output_format: jpg
output_quality: 80
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "a cat jumping in the air to catch a bird",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Juiced 🔥 (default)",
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "output_quality": 80,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
  {
    input: {
      seed: -1,
      prompt: "a cat jumping in the air to catch a bird",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Juiced 🔥 (default)",
      aspect_ratio: "1:1",
      output_format: "jpg",
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
    input={
        "seed": -1,
        "prompt": "a cat jumping in the air to catch a bird",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Juiced 🔥 (default)",
        "aspect_ratio": "1:1",
        "output_format": "jpg",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:56af91e9dc4f4dacbac681cb1156b92eb92a280f96e695c64cfa9455c361bd21",
    "input": {
      "seed": -1,
      "prompt": "a cat jumping in the air to catch a bird",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Juiced 🔥 (default)",
      "aspect_ratio": "1:1",
      "output_format": "jpg",
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.5 seconds

Tweak it Share Report

Prediction

prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885

Model

prunaai/flux.1-dev:56105ad0

ID

fmn61w1c4srma0cqc59rsbmfdw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.0s

Created

24 days ago

Input

seed: -1
prompt: black forest gateau cake spelling out the words "FLUX DEV", tasty, food photography, dynamic shot
guidance: 3.5
image_size: 1024
speed_mode: Blink of an eye 👁️
aspect_ratio: 1:1
output_format: jpg
output_quality: 78
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Blink of an eye 👁️",
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "output_quality": 78,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885",
  {
    input: {
      seed: -1,
      prompt: "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Blink of an eye 👁️",
      aspect_ratio: "1:1",
      output_format: "jpg",
      output_quality: 78,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885",
    input={
        "seed": -1,
        "prompt": "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Blink of an eye 👁️",
        "aspect_ratio": "1:1",
        "output_format": "jpg",
        "output_quality": 78,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885",
    "input": {
      "seed": -1,
      "prompt": "black forest gateau cake spelling out the words \\"FLUX DEV\\", tasty, food photography, dynamic shot",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Blink of an eye 👁️",
      "aspect_ratio": "1:1",
      "output_format": "jpg",
      "output_quality": 78,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.0 second

Tweak it Share Report

Prediction

prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885

Model

prunaai/flux.1-dev:56105ad0

ID

3w0q9rn3kxrma0cqcc6rdd511w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.0s

Created

23 days ago

Input

seed: -1
prompt: black forest gateau cake spelling out the words "FLUX DEV", tasty, food photography, dynamic shot
guidance: 3.5
image_size: 1024
speed_mode: Blink of an eye 👁️
aspect_ratio: 1:1
output_format: jpg
output_quality: 78
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Blink of an eye 👁️",
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "output_quality": 78,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885",
  {
    input: {
      seed: -1,
      prompt: "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Blink of an eye 👁️",
      aspect_ratio: "1:1",
      output_format: "jpg",
      output_quality: 78,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885",
    input={
        "seed": -1,
        "prompt": "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Blink of an eye 👁️",
        "aspect_ratio": "1:1",
        "output_format": "jpg",
        "output_quality": 78,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:56105ad0a94ce9b021fa997e27bbd91206cd70c10f274fa7e283e5450e3b5885",
    "input": {
      "seed": -1,
      "prompt": "black forest gateau cake spelling out the words \\"FLUX DEV\\", tasty, food photography, dynamic shot",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Blink of an eye 👁️",
      "aspect_ratio": "1:1",
      "output_format": "jpg",
      "output_quality": 78,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.0 second

Tweak it Share Report

Prediction

prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df

Model

prunaai/flux.1-dev:786b08f5

ID

2tf93ppeqxrme0cqd5xsgsjp6r

Status

Succeeded

Source

Web

Hardware

H100

Total duration

0.8s

Created

22 days ago

Input

seed: -1
prompt: a cat jumping in the air to catch a bird
guidance: 3.5
image_size: 1024
speed_mode: Blink of an eye 👁️
aspect_ratio: 1:1
output_format: jpg
output_quality: 78
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "a cat jumping in the air to catch a bird",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Blink of an eye 👁️",
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "output_quality": 78,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
  {
    input: {
      seed: -1,
      prompt: "a cat jumping in the air to catch a bird",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Blink of an eye 👁️",
      aspect_ratio: "1:1",
      output_format: "jpg",
      output_quality: 78,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
    input={
        "seed": -1,
        "prompt": "a cat jumping in the air to catch a bird",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Blink of an eye 👁️",
        "aspect_ratio": "1:1",
        "output_format": "jpg",
        "output_quality": 78,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
    "input": {
      "seed": -1,
      "prompt": "a cat jumping in the air to catch a bird",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Blink of an eye 👁️",
      "aspect_ratio": "1:1",
      "output_format": "jpg",
      "output_quality": 78,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

0.8 seconds

Tweak it Share Report

Prediction

prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df

Model

prunaai/flux.1-dev:786b08f5

ID

x29f245zw5rme0cqsndt9zr2yw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.2s

Created

3 days ago

Input

seed: -1
prompt: a cat jumping in the air to catch a bird
guidance: 3.5
image_size: 1024
speed_mode: Lightly Juiced 🍊 (more consistent)
aspect_ratio: 1:1
output_format: jpg
output_quality: 78
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "a cat jumping in the air to catch a bird",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Lightly Juiced 🍊 (more consistent)",
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "output_quality": 78,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
  {
    input: {
      seed: -1,
      prompt: "a cat jumping in the air to catch a bird",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Lightly Juiced 🍊 (more consistent)",
      aspect_ratio: "1:1",
      output_format: "jpg",
      output_quality: 78,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
    input={
        "seed": -1,
        "prompt": "a cat jumping in the air to catch a bird",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Lightly Juiced 🍊 (more consistent)",
        "aspect_ratio": "1:1",
        "output_format": "jpg",
        "output_quality": 78,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
    "input": {
      "seed": -1,
      "prompt": "a cat jumping in the air to catch a bird",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Lightly Juiced 🍊 (more consistent)",
      "aspect_ratio": "1:1",
      "output_format": "jpg",
      "output_quality": 78,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.2 seconds

Tweak it Share Report

Prediction

prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df

Model

prunaai/flux.1-dev:786b08f5

ID

fk5yrdr02srma0cqsxkvhp0j1m

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.6s

Created

2 days ago

Input

seed: -1
prompt: black forest gateau cake spelling out the words "FLUX DEV", tasty, food photography, dynamic shot
guidance: 3.5
image_size: 1024
speed_mode: Lightly Juiced 🍊 (more consistent)
aspect_ratio: 1:1
output_format: jpg
output_quality: 80
num_inference_steps: 28

{
  "seed": -1,
  "prompt": "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
  "guidance": 3.5,
  "image_size": 1024,
  "speed_mode": "Lightly Juiced 🍊 (more consistent)",
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "output_quality": 80,
  "num_inference_steps": 28
}

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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
  {
    input: {
      seed: -1,
      prompt: "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
      guidance: 3.5,
      image_size: 1024,
      speed_mode: "Lightly Juiced 🍊 (more consistent)",
      aspect_ratio: "1:1",
      output_format: "jpg",
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);

// 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 prunaai/flux.1-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
    input={
        "seed": -1,
        "prompt": "black forest gateau cake spelling out the words \"FLUX DEV\", tasty, food photography, dynamic shot",
        "guidance": 3.5,
        "image_size": 1024,
        "speed_mode": "Lightly Juiced 🍊 (more consistent)",
        "aspect_ratio": "1:1",
        "output_format": "jpg",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
print(output)

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

Run prunaai/flux.1-dev 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 $'{
    "version": "prunaai/flux.1-dev:786b08f5ce6469390ec0cd9164bde74d02a2af548316821eba0bbeb347b421df",
    "input": {
      "seed": -1,
      "prompt": "black forest gateau cake spelling out the words \\"FLUX DEV\\", tasty, food photography, dynamic shot",
      "guidance": 3.5,
      "image_size": 1024,
      "speed_mode": "Lightly Juiced 🍊 (more consistent)",
      "aspect_ratio": "1:1",
      "output_format": "jpg",
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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