jschoormans/unstaging:d41e1770 – Run with an API on Replicate

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jschoormans /unstaging:d41e1770

Playground API

Input

image

*file

Input image for conditioning

prompt

*string

Shift + Return to add a new line

Text prompt for generation

negative_prompt

string

Shift + Return to add a new line

Negative text prompt for generation

Default: ""

resolution

integer

(minimum: 256, maximum: 2048)

Output resolution

Default: 768

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps

Default: 8

resolution_conditioning

integer

(minimum: 256, maximum: 2048)

Resolution of the conditioning image

Default: 768

scale

number

(minimum: 0, maximum: 2)

Scale of the conditioning image

Default: 1

seed

integer

(minimum: 0, maximum: 4294967295)

Seed for the generation

Default: 0

num_runs

integer

(minimum: 1, maximum: 10)

Number of runs to make

Default: 1

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

npx create-replicate --model=jschoormans/unstaging

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

const output = await replicate.run(
  "jschoormans/unstaging:d41e1770837f167a28f948c6bc81baefbbaa9dfa278d6f528ce40b5a61be9b74",
  {
    input: {
      seed: 0,
      scale: 1,
      num_runs: 1,
      resolution: 768,
      negative_prompt: "",
      num_inference_steps: 8,
      resolution_conditioning: 768
    }
  }
);

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

output = replicate.run(
    "jschoormans/unstaging:d41e1770837f167a28f948c6bc81baefbbaa9dfa278d6f528ce40b5a61be9b74",
    input={
        "seed": 0,
        "scale": 1,
        "num_runs": 1,
        "resolution": 768,
        "negative_prompt": "",
        "num_inference_steps": 8,
        "resolution_conditioning": 768
    }
)
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 jschoormans/unstaging 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": "jschoormans/unstaging:d41e1770837f167a28f948c6bc81baefbbaa9dfa278d6f528ce40b5a61be9b74",
    "input": {
      "seed": 0,
      "scale": 1,
      "num_runs": 1,
      "resolution": 768,
      "negative_prompt": "",
      "num_inference_steps": 8,
      "resolution_conditioning": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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