jhorovitz/omini-dev – Run with an API on Replicate

Input

prompt

string

Shift + Return to add a new line

A yellow book with the word 'OMINI' in large font on the cover. The text 'for FLUX' appears at the bottom.A yellow book with the word 'OMINI' in large font on the cover. The text 'for FLUX' appears at the bottom.

Text prompt

task

string

OminiControl task

Default: "fill"

control_image

file

Control image.

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process

Default: 3.5

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

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

npx create-replicate --model=jhorovitz/omini-dev

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

const output = await replicate.run(
  "jhorovitz/omini-dev:85dcc269f1e1c5f1258e955b3ec44a0ee663004d19a2122c963ad7bc238514d1",
  {
    input: {
      seed: 42,
      task: "fill",
      prompt: "A yellow book with the word 'OMINI' in large font on the cover. The text 'for FLUX' appears at the bottom.",
      num_outputs: 1,
      control_image: "https://github.com/jHorovitz/OminiControl/blob/main/assets/book_masked.jpg?raw=true",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      num_inference_steps: 8
    }
  }
);
console.log(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 jhorovitz/omini-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jhorovitz/omini-dev:85dcc269f1e1c5f1258e955b3ec44a0ee663004d19a2122c963ad7bc238514d1",
    input={
        "seed": 42,
        "task": "fill",
        "prompt": "A yellow book with the word 'OMINI' in large font on the cover. The text 'for FLUX' appears at the bottom.",
        "num_outputs": 1,
        "control_image": "https://github.com/jHorovitz/OminiControl/blob/main/assets/book_masked.jpg?raw=true",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 8
    }
)
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 jhorovitz/omini-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 $'{
    "version": "85dcc269f1e1c5f1258e955b3ec44a0ee663004d19a2122c963ad7bc238514d1",
    "input": {
      "seed": 42,
      "task": "fill",
      "prompt": "A yellow book with the word \'OMINI\' in large font on the cover. The text \'for FLUX\' appears at the bottom.",
      "num_outputs": 1,
      "control_image": "https://github.com/jHorovitz/OminiControl/blob/main/assets/book_masked.jpg?raw=true",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/jhorovitz/omini-dev@sha256:85dcc269f1e1c5f1258e955b3ec44a0ee663004d19a2122c963ad7bc238514d1 \
  -i 'seed=42' \
  -i 'task="fill"' \
  -i $'prompt="A yellow book with the word \'OMINI\' in large font on the cover. The text \'for FLUX\' appears at the bottom."' \
  -i 'num_outputs=1' \
  -i 'control_image="https://github.com/jHorovitz/OminiControl/blob/main/assets/book_masked.jpg?raw=true"' \
  -i 'output_format="webp"' \
  -i 'guidance_scale=3.5' \
  -i 'output_quality=80' \
  -i 'num_inference_steps=8'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/jhorovitz/omini-dev@sha256:85dcc269f1e1c5f1258e955b3ec44a0ee663004d19a2122c963ad7bc238514d1
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 42,
      "task": "fill",
      "prompt": "A yellow book with the word \'OMINI\' in large font on the cover. The text \'for FLUX\' appears at the bottom.",
      "num_outputs": 1,
      "control_image": "https://github.com/jHorovitz/OminiControl/blob/main/assets/book_masked.jpg?raw=true",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 8
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.