prunaai/flux.1-omini-juiced:4abbe496 – Run with an API on Replicate

Version

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prunaai /flux.1-omini-juiced:4abbe496

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt

condition

file

Input image for omini control. The aspect ratio of your output will match this image

speed_mode

string

Speed optimization level

Default: "Juiced 🔥 (default)"

num_inference_steps

integer

Number of inference steps

Default: 28

seed

integer

Seed

Default: -1

aspect_ratio

string

Aspect ratio of the output image

Default: "1:1"

image_size

integer

Base image size (longest side)

Default: 512

image_guidance_scale

number

Guidance scale for the image

Default: 1

output_format

string

Output format

Default: "png"

output_quality

integer

(minimum: 1, maximum: 100)

Output quality (for jpg and webp)

Default: 80

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

npx create-replicate --model=prunaai/flux.1-omini-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-omini-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-omini-juiced:4abbe496540d006abafbe61d5d81839fc94090cd809fc04ef0181bea22d5e793",
  {
    input: {
      seed: -1,
      image_size: 512,
      speed_mode: "Juiced 🔥 (default)",
      aspect_ratio: "1:1",
      output_format: "png",
      output_quality: 80,
      num_inference_steps: 28,
      image_guidance_scale: 1
    }
  }
);

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

output = replicate.run(
    "prunaai/flux.1-omini-juiced:4abbe496540d006abafbe61d5d81839fc94090cd809fc04ef0181bea22d5e793",
    input={
        "seed": -1,
        "image_size": 512,
        "speed_mode": "Juiced 🔥 (default)",
        "aspect_ratio": "1:1",
        "output_format": "png",
        "output_quality": 80,
        "num_inference_steps": 28,
        "image_guidance_scale": 1
    }
)
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-omini-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": "4abbe496540d006abafbe61d5d81839fc94090cd809fc04ef0181bea22d5e793",
    "input": {
      "seed": -1,
      "image_size": 512,
      "speed_mode": "Juiced 🔥 (default)",
      "aspect_ratio": "1:1",
      "output_format": "png",
      "output_quality": 80,
      "num_inference_steps": 28,
      "image_guidance_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.