jschoormans/unstaging | Run with an API on Replicate

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,
      image: "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
      scale: 1,
      prompt: "empty room, nothing",
      num_runs: 1,
      resolution: 1024,
      negative_prompt: "",
      num_inference_steps: 8,
      resolution_conditioning: 1024
    }
  }
);

// 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,
        "image": "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
        "scale": 1,
        "prompt": "empty room, nothing",
        "num_runs": 1,
        "resolution": 1024,
        "negative_prompt": "",
        "num_inference_steps": 8,
        "resolution_conditioning": 1024
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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,
      "image": "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
      "scale": 1,
      "prompt": "empty room, nothing",
      "num_runs": 1,
      "resolution": 1024,
      "negative_prompt": "",
      "num_inference_steps": 8,
      "resolution_conditioning": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

17.4 seconds

Tweak it ShareReport View full prediction

This output was created using a different version of the model, jschoormans/unstaging:133ffb19.

Examples

View more examples

Run time and cost

This model costs approximately $0.14 to run on Replicate, or 7 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 100 seconds. The predict time for this model varies significantly based on the inputs.

Readme

To do - I need to fix the resizing but Im away on holiday for now :) Will do that next week!