Prediction

black-forest-labs/flux-dev

Official model

black-forest-labs/flux-dev

nbgkpy68m1rm40chr1faxpw2vg

Status

Succeeded

Source

Web

Total duration

10.1s

Created

11 months ago by @lucataco

Input

prompt: latina model
guidance: 3.5
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
output_quality: 80
prompt_strength: 0.8
num_inference_steps: 28

{
  "prompt": "latina model",
  "guidance": 3.5,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "output_quality": 80,
  "prompt_strength": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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

const input = {
  prompt: "latina model",
  guidance: 3.5,
  num_outputs: 1,
  aspect_ratio: "1:1",
  output_format: "webp",
  output_quality: 80,
  prompt_strength: 0.8,
  num_inference_steps: 28
};

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

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

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

output = replicate.run(
    "black-forest-labs/flux-dev",
    input={
        "prompt": "latina model",
        "guidance": 3.5,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "prompt_strength": 0.8,
        "num_inference_steps": 28
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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=<paste-your-token-here>

Find your API token in your account settings.

Run black-forest-labs/flux-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 $'{
    "input": {
      "prompt": "latina model",
      "guidance": 3.5,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "prompt_strength": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev/predictions

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

Output

Generated in

5.0 seconds

Tweak it Iterate in playgroundReport