impetusdesign/sxn-trd:e1663b7e | Run with an API on Replicate

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impetusdesign /sxn-trd:e1663b7e

Playground API

Input

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

npx create-replicate --model=impetusdesign/sxn-trd

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 impetusdesign/sxn-trd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "impetusdesign/sxn-trd:e1663b7ef15439c40a53b3709745219f7acfd33364a025f04e70e646f356aa45",
  {
    input: {
      seed: 92,
      image: "https://replicate.delivery/pbxt/MYTyYKwXa8uARHYGYpDv1Kxmea1La0Xoiog5gQ22eaE4GCM2/0.png",
      prompt: "",
      padding: 0.15,
      num_inference_steps: 20,
      num_images_per_prompt: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 impetusdesign/sxn-trd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "impetusdesign/sxn-trd:e1663b7ef15439c40a53b3709745219f7acfd33364a025f04e70e646f356aa45",
    input={
        "seed": 92,
        "image": "https://replicate.delivery/pbxt/MYTyYKwXa8uARHYGYpDv1Kxmea1La0Xoiog5gQ22eaE4GCM2/0.png",
        "prompt": "",
        "padding": 0.15,
        "num_inference_steps": 20,
        "num_images_per_prompt": 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 impetusdesign/sxn-trd 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": "impetusdesign/sxn-trd:e1663b7ef15439c40a53b3709745219f7acfd33364a025f04e70e646f356aa45",
    "input": {
      "seed": 92,
      "image": "https://replicate.delivery/pbxt/MYTyYKwXa8uARHYGYpDv1Kxmea1La0Xoiog5gQ22eaE4GCM2/0.png",
      "prompt": "",
      "padding": 0.15,
      "num_inference_steps": 20,
      "num_images_per_prompt": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-24T13:56:13.646235Z",
  "created_at": "2025-02-24T13:53:13.022000Z",
  "data_removed": false,
  "error": null,
  "id": "1vggk9ds7srj60cn70xvkb987m",
  "input": {
    "seed": 92,
    "image": "https://replicate.delivery/pbxt/MYTyYKwXa8uARHYGYpDv1Kxmea1La0Xoiog5gQ22eaE4GCM2/0.png",
    "prompt": "",
    "padding": 0.15,
    "num_inference_steps": 20,
    "num_images_per_prompt": 1
  },
  "logs": "0%|          | 0/19 [00:00<?, ?it/s]\n  5%|▌         | 1/19 [00:00<00:04,  4.00it/s]\n 16%|█▌        | 3/19 [00:00<00:02,  7.89it/s]\n 21%|██        | 4/19 [00:00<00:01,  8.38it/s]\n 26%|██▋       | 5/19 [00:00<00:01,  8.74it/s]\n 32%|███▏      | 6/19 [00:00<00:01,  9.00it/s]\n 37%|███▋      | 7/19 [00:00<00:01,  9.16it/s]\n 42%|████▏     | 8/19 [00:00<00:01,  9.28it/s]\n 47%|████▋     | 9/19 [00:01<00:01,  9.37it/s]\n 53%|█████▎    | 10/19 [00:01<00:00,  9.43it/s]\n 58%|█████▊    | 11/19 [00:01<00:00,  9.47it/s]\n 63%|██████▎   | 12/19 [00:01<00:00,  9.51it/s]\n 68%|██████▊   | 13/19 [00:01<00:00,  9.54it/s]\n 74%|███████▎  | 14/19 [00:01<00:00,  9.56it/s]\n 79%|███████▉  | 15/19 [00:01<00:00,  9.55it/s]\n 84%|████████▍ | 16/19 [00:01<00:00,  9.54it/s]\n 89%|████████▉ | 17/19 [00:01<00:00,  9.53it/s]\n 95%|█████████▍| 18/19 [00:01<00:00,  9.54it/s]\n100%|██████████| 19/19 [00:02<00:00,  9.56it/s]\n100%|██████████| 19/19 [00:02<00:00,  9.09it/s]",
  "metrics": {
    "predict_time": 3.945524672,
    "total_time": 180.624235
  },
  "output": [
    "https://replicate.delivery/yhqm/6IroTfL1kvW0aqOwVVDsegvq4D5YFvdKlBs1qmVxAtq9xiSUA/output_0.png"
  ],
  "started_at": "2025-02-24T13:56:09.700710Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/yswh-anp5vbaudbu7o7swp5ev2kg7e4ku6pn7pfzfrekhavfbw3stcbfq",
    "get": "https://api.replicate.com/v1/predictions/1vggk9ds7srj60cn70xvkb987m",
    "cancel": "https://api.replicate.com/v1/predictions/1vggk9ds7srj60cn70xvkb987m/cancel"
  },
  "version": "e1663b7ef15439c40a53b3709745219f7acfd33364a025f04e70e646f356aa45"
}

Generated in

4.0 seconds

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