Prediction

Model

prunaai/flux.1-juiced:6c7af2f8

e9txgngqzhrme0cpwc9brtv6rw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.7s

Created

7 months ago

Webhook

–

Input

prompt: a tiny astronaut hatching from an egg on the moon
speed_mode: Extra Juiced 🔥 (more speed)
num_inference_steps: 28
guidance: 3.5
seed: 2
aspect_ratio: 1:1
image_size: 1024
output_format: webp
output_quality: 80

{
  "aspect_ratio": "1:1",
  "guidance": 3.5,
  "image_size": 1024,
  "num_inference_steps": 28,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a tiny astronaut hatching from an egg on the moon",
  "seed": 2,
  "speed_mode": "Extra Juiced 🔥 (more speed)"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_7uw**********************************

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 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: {
      aspect_ratio: "1:1",
      guidance: 3.5,
      image_size: 1024,
      num_inference_steps: 28,
      output_format: "webp",
      output_quality: 80,
      prompt: "a tiny astronaut hatching from an egg on the moon",
      seed: 2,
      speed_mode: "Extra Juiced 🔥 (more speed)"
    }
  }
);

// 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_7uw**********************************

This is your API token. Keep it to yourself.

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={
        "aspect_ratio": "1:1",
        "guidance": 3.5,
        "image_size": 1024,
        "num_inference_steps": 28,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a tiny astronaut hatching from an egg on the moon",
        "seed": 2,
        "speed_mode": "Extra Juiced 🔥 (more speed)"
    }
)

# 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_7uw**********************************

This is your API token. Keep it to yourself.

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": {
      "aspect_ratio": "1:1",
      "guidance": 3.5,
      "image_size": 1024,
      "num_inference_steps": 28,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a tiny astronaut hatching from an egg on the moon",
      "seed": 2,
      "speed_mode": "Extra Juiced 🔥 (more speed)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 second

Tweak it Report