cjwbw/scalecrafter:2b9b8d81 – Run with an API on Replicate

Version

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cjwbw /scalecrafter:2b9b8d81

Input

prompt

string

Shift + Return to add a new line

a professional photograph of an astronaut riding a horsea professional photograph of an astronaut riding a horse

Input prompt

Default: "a professional photograph of an astronaut riding a horse"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

width

integer

Width of output image. Lower the setting if out of memory.

Default: 2048

height

integer

Height of output image. Lower the setting if out of memory.

Default: 2048

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

seed

integer

Random seed. Leave blank to randomize the seed

dilate_settings

file

You can provide a custom setting to specify the layer to use our method and its dilation scale, for example see assets/dilate_settings/sdxl_4096x4096.txt

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

npx create-replicate --model=cjwbw/scalecrafter

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

const output = await replicate.run(
  "cjwbw/scalecrafter:2b9b8d8138a98b7d732c26392f42cdf8745babaf66cc1745bec6ffb9faacc070",
  {
    input: {
      width: 2048,
      height: 2048,
      prompt: "a professional photograph of an astronaut riding a horse",
      num_inference_steps: 50
    }
  }
);

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

output = replicate.run(
    "cjwbw/scalecrafter:2b9b8d8138a98b7d732c26392f42cdf8745babaf66cc1745bec6ffb9faacc070",
    input={
        "width": 2048,
        "height": 2048,
        "prompt": "a professional photograph of an astronaut riding a horse",
        "num_inference_steps": 50
    }
)
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 cjwbw/scalecrafter 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": "cjwbw/scalecrafter:2b9b8d8138a98b7d732c26392f42cdf8745babaf66cc1745bec6ffb9faacc070",
    "input": {
      "width": 2048,
      "height": 2048,
      "prompt": "a professional photograph of an astronaut riding a horse",
      "num_inference_steps": 50
    }
  }' \
  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.