okaris/omni-bg:6122f5c2 | Run with an API on Replicate

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okaris /omni-bg:6122f5c2

Playground API

Input

job_id

string

Shift + Return to add a new line

Job ID for the model. Randomly generated if not provided

image

*file

Base image for the model

number_of_images

integer

(minimum: 1, maximum: 20)

Number of images to generate

Default: 1

simple_lama_operating_resolution

integer

Operating resolution for the model

Default: 256

Including prompt_suffix and 29 more...

prompt_suffix

string

Shift + Return to add a new line

,high quality, medium format, f/32, realistic, cinematic, RAW,high quality, medium format, f/32, realistic, cinematic, RAW

Prompt suffix

Default: ",high quality, medium format, f/32, realistic, cinematic, RAW"

prompt_prefix

string

Shift + Return to add a new line

Starting prompt for the model. Gets added with other variables as needed

Default: "photograph"

negative_prompt

string

Shift + Return to add a new line

Negative prompt for the model. Not necessary, but can be used to guide the model

Default: ""

override_prompt

string

Shift + Return to add a new line

Override prompt for the model. Not necessary, but can be used to guide the model

Default: ""

background_brightness

number

(minimum: -1, maximum: 1)

Background brightness for the model

Default: 0.5

seed

integer

Random seed for the model. Leave as -1 for random seed

Default: -1

height

integer

Height of the output image. Must be divisible by 32, but this is handled automatically

Default: 768

width

integer

Width of the output image. Must be divisible by 32, but this is handled automatically

Default: 1024

final_step_upscale_4x

boolean

Final step upscale 4x for the model

Default: false

debug_mode

boolean

Debug mode for the model

Default: false

object_padding

number

(minimum: 0, maximum: 1)

Object padding for the model. Percent of the object width

Default: 0.1

first_pass_steps

integer

(minimum: 10, maximum: 50)

Number of steps for the first pass

Default: 10

first_pass_i2i_strength

number

(minimum: 0, maximum: 1)

I2I strength for the first pass. Must be 1.0 unless you feel like experimenting

Default: 1

first_pass_pag_scale

number

(minimum: 0.5, maximum: 5)

PAG scale for the first pass. 1 or 2 seem to work best

Default: 2

first_pass_guidance_scale

number

(minimum: 1, maximum: 14)

Guidance scale for the first pass

Default: 4

first_pass_outpaint_strength

number

(minimum: 0, maximum: 1)

Outpaint strength for the first pass

Default: 1

first_pass_depth_strength

number

(minimum: 0, maximum: 1)

Depth strength for the first pass. For the first pass we want more flexibility, so 0.0 is a good starting point

Default: 0

first_pass_line_strength

number

(minimum: 0, maximum: 1)

Line strength for the first pass

Default: 1

skip_second_pass

boolean

Skip the second pass

Default: false

second_pass_steps

integer

(minimum: 10, maximum: 50)

Number of steps for the second pass

Default: 10

second_pass_i2i_strength

number

(minimum: 0, maximum: 1)

I2I strength for the second pass

Default: 0.5

second_pass_pag_scale

number

(minimum: 0.5, maximum: 5)

PAG scale for the second pass

Default: 1

second_pass_guidance_scale

number

(minimum: 1, maximum: 14)

Guidance scale for the second pass

Default: 4

second_pass_outpaint_strength

number

(minimum: 0, maximum: 1)

Outpaint strength for the second pass

Default: 1

second_pass_depth_strength

number

(minimum: 0, maximum: 1)

Depth strength for the second pass. We now want to lock in the depth, so 1.0 is a good starting point

Default: 1

second_pass_line_strength

number

(minimum: 0, maximum: 1)

Line strength for the second pass

Default: 1

skip_light_pass

boolean

Skip the light pass

Default: false

light_pass_steps

integer

(minimum: 10, maximum: 50)

Number of steps for the light pass. This is a two step process and takes 1.9x steps

Default: 10

light_pass_guidance_scale

number

(minimum: 1, maximum: 14)

Guidance scale for the light pass

Default: 7

light_mix_scale

number

(minimum: 0, maximum: 1)

Mix scale for the light pass. 0.5 is a good starting point

Default: 0.5

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

npx create-replicate --model=okaris/omni-bg

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";
import fs from "node:fs";

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

Run okaris/omni-bg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "okaris/omni-bg:6122f5c2a065e62d24536cc75549a7040a98869d67dca44464edc318ccf4a00f",
  {
    input: {
      seed: -1,
      width: 1024,
      height: 768,
      debug_mode: false,
      prompt_prefix: "photograph",
      prompt_suffix: ",high quality, medium format, f/32, realistic, cinematic, RAW",
      object_padding: 0.1,
      light_mix_scale: 0.5,
      negative_prompt: "",
      override_prompt: "",
      skip_light_pass: false,
      first_pass_steps: 10,
      light_pass_steps: 10,
      number_of_images: 1,
      skip_second_pass: false,
      second_pass_steps: 10,
      first_pass_pag_scale: 2,
      background_brightness: 0.5,
      final_step_upscale_4x: false,
      second_pass_pag_scale: 1,
      first_pass_i2i_strength: 1,
      first_pass_line_strength: 1,
      second_pass_i2i_strength: 0.5,
      first_pass_depth_strength: 0,
      first_pass_guidance_scale: 4,
      light_pass_guidance_scale: 7,
      second_pass_line_strength: 1,
      second_pass_depth_strength: 1,
      second_pass_guidance_scale: 4,
      first_pass_outpaint_strength: 1,
      second_pass_outpaint_strength: 1,
      simple_lama_operating_resolution: 256
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "okaris/omni-bg:6122f5c2a065e62d24536cc75549a7040a98869d67dca44464edc318ccf4a00f",
    input={
        "seed": -1,
        "width": 1024,
        "height": 768,
        "debug_mode": False,
        "prompt_prefix": "photograph",
        "prompt_suffix": ",high quality, medium format, f/32, realistic, cinematic, RAW",
        "object_padding": 0.1,
        "light_mix_scale": 0.5,
        "negative_prompt": "",
        "override_prompt": "",
        "skip_light_pass": False,
        "first_pass_steps": 10,
        "light_pass_steps": 10,
        "number_of_images": 1,
        "skip_second_pass": False,
        "second_pass_steps": 10,
        "first_pass_pag_scale": 2,
        "background_brightness": 0.5,
        "final_step_upscale_4x": False,
        "second_pass_pag_scale": 1,
        "first_pass_i2i_strength": 1,
        "first_pass_line_strength": 1,
        "second_pass_i2i_strength": 0.5,
        "first_pass_depth_strength": 0,
        "first_pass_guidance_scale": 4,
        "light_pass_guidance_scale": 7,
        "second_pass_line_strength": 1,
        "second_pass_depth_strength": 1,
        "second_pass_guidance_scale": 4,
        "first_pass_outpaint_strength": 1,
        "second_pass_outpaint_strength": 1,
        "simple_lama_operating_resolution": 256
    }
)

# The okaris/omni-bg model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/okaris/omni-bg/api#output-schema
    print(item)

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 okaris/omni-bg 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": "okaris/omni-bg:6122f5c2a065e62d24536cc75549a7040a98869d67dca44464edc318ccf4a00f",
    "input": {
      "seed": -1,
      "width": 1024,
      "height": 768,
      "debug_mode": false,
      "prompt_prefix": "photograph",
      "prompt_suffix": ",high quality, medium format, f/32, realistic, cinematic, RAW",
      "object_padding": 0.1,
      "light_mix_scale": 0.5,
      "negative_prompt": "",
      "override_prompt": "",
      "skip_light_pass": false,
      "first_pass_steps": 10,
      "light_pass_steps": 10,
      "number_of_images": 1,
      "skip_second_pass": false,
      "second_pass_steps": 10,
      "first_pass_pag_scale": 2,
      "background_brightness": 0.5,
      "final_step_upscale_4x": false,
      "second_pass_pag_scale": 1,
      "first_pass_i2i_strength": 1,
      "first_pass_line_strength": 1,
      "second_pass_i2i_strength": 0.5,
      "first_pass_depth_strength": 0,
      "first_pass_guidance_scale": 4,
      "light_pass_guidance_scale": 7,
      "second_pass_line_strength": 1,
      "second_pass_depth_strength": 1,
      "second_pass_guidance_scale": 4,
      "first_pass_outpaint_strength": 1,
      "second_pass_outpaint_strength": 1,
      "simple_lama_operating_resolution": 256
    }
  }' \
  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.