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

Input

prompt

*string

Shift + Return to add a new line

In a beautifully furnished living room, this item is placed in the middleIn a beautifully furnished living room, this item is placed in the middle

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 🧃"

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:490a3e1f7c42ba11d4b07960c070f585f02931d2b1067885c8b1a57ab2562f5f",
  {
    input: {
      seed: 1,
      prompt: "In a beautifully furnished living room, this item is placed in the middle",
      condition: "https://replicate.delivery/yhqm/IItye7fbhRuEVkobFA7C103dtBn0AIfQAwaIHEOEw54BhICpA/output.png",
      image_size: 512,
      speed_mode: "Extra Juiced 🔥",
      aspect_ratio: "1:1",
      output_format: "webp",
      output_quality: 80,
      num_inference_steps: 28,
      image_guidance_scale: 1.5
    }
  }
);

// 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:490a3e1f7c42ba11d4b07960c070f585f02931d2b1067885c8b1a57ab2562f5f",
    input={
        "seed": 1,
        "prompt": "In a beautifully furnished living room, this item is placed in the middle",
        "condition": "https://replicate.delivery/yhqm/IItye7fbhRuEVkobFA7C103dtBn0AIfQAwaIHEOEw54BhICpA/output.png",
        "image_size": 512,
        "speed_mode": "Extra Juiced 🔥",
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 28,
        "image_guidance_scale": 1.5
    }
)
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": "prunaai/flux.1-omini-juiced:490a3e1f7c42ba11d4b07960c070f585f02931d2b1067885c8b1a57ab2562f5f",
    "input": {
      "seed": 1,
      "prompt": "In a beautifully furnished living room, this item is placed in the middle",
      "condition": "https://replicate.delivery/yhqm/IItye7fbhRuEVkobFA7C103dtBn0AIfQAwaIHEOEw54BhICpA/output.png",
      "image_size": 512,
      "speed_mode": "Extra Juiced 🔥",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 28,
      "image_guidance_scale": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

9.2 seconds

Tweak it ShareReport

Run time and cost

This model costs approximately $0.014 to run on Replicate, or 71 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 10 seconds. The predict time for this model varies significantly based on the inputs.