shefa/turbo-enigma:c82fc274 – Run with an API on Replicate

Version

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shefa /turbo-enigma:c82fc274

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "adventure in Bali"

width

integer

Width of output image

Default: 448

height

integer

Height of output image

Default: 896

num_inference_steps

integer

(minimum: 1, maximum: 10)

Number of denoising steps

Default: 7

num_refine_steps

integer

(minimum: 0, maximum: 5)

Number of refine steps

Default: 3

guidance_scale

number

(minimum: 1, maximum: 3)

Scale for classifier-free guidance

Default: 1.77

seed

integer

Random seed. Leave blank to randomize the seed

Including disable_safety_checker

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

npx create-replicate --model=shefa/turbo-enigma

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 shefa/turbo-enigma using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "shefa/turbo-enigma:c82fc274654affa3fd78d9213ca065096f5f644e6446dea1d8e0c23c364c3010",
  {
    input: {
      width: 448,
      height: 896,
      prompt: "adventure in Bali",
      guidance_scale: 1.77,
      num_refine_steps: 3,
      num_inference_steps: 7
    }
  }
);

// 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 shefa/turbo-enigma using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "shefa/turbo-enigma:c82fc274654affa3fd78d9213ca065096f5f644e6446dea1d8e0c23c364c3010",
    input={
        "width": 448,
        "height": 896,
        "prompt": "adventure in Bali",
        "guidance_scale": 1.77,
        "num_refine_steps": 3,
        "num_inference_steps": 7
    }
)
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 shefa/turbo-enigma 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": "shefa/turbo-enigma:c82fc274654affa3fd78d9213ca065096f5f644e6446dea1d8e0c23c364c3010",
    "input": {
      "width": 448,
      "height": 896,
      "prompt": "adventure in Bali",
      "guidance_scale": 1.77,
      "num_refine_steps": 3,
      "num_inference_steps": 7
    }
  }' \
  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.