okaris/omni-zero:645b9f86 – Run with an API on Replicate

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okaris /omni-zero:645b9f86

Playground API

Input

seed

integer

Random seed for the model

Default: 42

prompt

string

Shift + Return to add a new line

Prompt for the model

Default: "A person"

negative_prompt

string

Shift + Return to add a new line

Negative prompt for the model

Default: "blurry, out of focus"

guidance_scale

number

(minimum: 0, maximum: 14)

Guidance scale for the model

Default: 3

number_of_images

integer

(minimum: 1, maximum: 4)

Number of images to generate

Default: 1

number_of_steps

integer

(minimum: 1, maximum: 50)

Number of steps for the model

Default: 10

base_image

*file

Base image for the model

base_image_strength

number

(minimum: 0, maximum: 1)

Base image strength for the model

Default: 0.15

composition_image

*file

Composition image for the model

composition_image_strength

number

(minimum: 0, maximum: 1)

Composition image strength for the model

Default: 1

style_image

*file

Style image for the model

style_image_strength

number

(minimum: 0, maximum: 1)

Style image strength for the model

Default: 1

identity_image

*file

Identity image for the model

identity_image_strength

number

(minimum: 0, maximum: 1)

Identity image strength for the model

Default: 1

depth_image

file

Depth image for the model

depth_image_strength

number

(minimum: 0, maximum: 1)

Depth image strength for the model, if not supplied the composition image will be used for depth

Default: 0.5

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

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

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

const output = await replicate.run(
  "okaris/omni-zero:645b9f86ac0bab1d2221bef5ae371e85fd5e4736a8c4544ad02afc83d6af6c3b",
  {
    input: {
      seed: 42,
      prompt: "A person",
      guidance_scale: 3,
      negative_prompt: "blurry, out of focus",
      number_of_steps: 10,
      number_of_images: 1,
      base_image_strength: 0.15,
      depth_image_strength: 0.5,
      style_image_strength: 1,
      identity_image_strength: 1,
      composition_image_strength: 1
    }
  }
);
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 okaris/omni-zero using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "okaris/omni-zero:645b9f86ac0bab1d2221bef5ae371e85fd5e4736a8c4544ad02afc83d6af6c3b",
    input={
        "seed": 42,
        "prompt": "A person",
        "guidance_scale": 3,
        "negative_prompt": "blurry, out of focus",
        "number_of_steps": 10,
        "number_of_images": 1,
        "base_image_strength": 0.15,
        "depth_image_strength": 0.5,
        "style_image_strength": 1,
        "identity_image_strength": 1,
        "composition_image_strength": 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 okaris/omni-zero 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": "645b9f86ac0bab1d2221bef5ae371e85fd5e4736a8c4544ad02afc83d6af6c3b",
    "input": {
      "seed": 42,
      "prompt": "A person",
      "guidance_scale": 3,
      "negative_prompt": "blurry, out of focus",
      "number_of_steps": 10,
      "number_of_images": 1,
      "base_image_strength": 0.15,
      "depth_image_strength": 0.5,
      "style_image_strength": 1,
      "identity_image_strength": 1,
      "composition_image_strength": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run okaris/omni-zero using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/okaris/omni-zero@sha256:645b9f86ac0bab1d2221bef5ae371e85fd5e4736a8c4544ad02afc83d6af6c3b \
  -i 'seed=42' \
  -i 'prompt="A person"' \
  -i 'guidance_scale=3' \
  -i 'negative_prompt="blurry, out of focus"' \
  -i 'number_of_steps=10' \
  -i 'number_of_images=1' \
  -i 'base_image_strength=0.15' \
  -i 'depth_image_strength=0.5' \
  -i 'style_image_strength=1' \
  -i 'identity_image_strength=1' \
  -i 'composition_image_strength=1'

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

Pull and run okaris/omni-zero using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/okaris/omni-zero@sha256:645b9f86ac0bab1d2221bef5ae371e85fd5e4736a8c4544ad02afc83d6af6c3b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 42,
      "prompt": "A person",
      "guidance_scale": 3,
      "negative_prompt": "blurry, out of focus",
      "number_of_steps": 10,
      "number_of_images": 1,
      "base_image_strength": 0.15,
      "depth_image_strength": 0.5,
      "style_image_strength": 1,
      "identity_image_strength": 1,
      "composition_image_strength": 1
    }
  }' \
  http://localhost:5000/predictions

Output

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