prunaai/flux.1-juiced – Run with an API on Replicate

prunaai / flux.1-juiced

This a pruna optimised version of the flux 1.dev model.

Cold

Public
40.7K runs
H100

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=prunaai/flux.1-juiced

or set up a project from scratch

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";

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

Run prunaai/flux.1-juiced 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-juiced:6c7af2f8c6ad10467ac22f5f9cc892f4ef789e071d64f19199d5cc070cf6a32d",
  {
    input: {
      seed: 2,
      prompt: "a tiny astronaut hatching from an egg on the moon",
      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

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

output = replicate.run(
    "prunaai/flux.1-juiced:6c7af2f8c6ad10467ac22f5f9cc892f4ef789e071d64f19199d5cc070cf6a32d",
    input={
        "seed": 2,
        "prompt": "a tiny astronaut hatching from an egg on the moon",
        "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.

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Run prunaai/flux.1-juiced 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-juiced:6c7af2f8c6ad10467ac22f5f9cc892f4ef789e071d64f19199d5cc070cf6a32d",
    "input": {
      "seed": 2,
      "prompt": "a tiny astronaut hatching from an egg on the moon",
      "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.