teaglis-kury / sana

{
  "seed": 42,
  "width": 512,
  "height": 512,
  "prompt": "frog",
  "guidance_scale": 5,
  "negative_prompt": "",
  "pag_guidance_scale": 2,
  "num_inference_steps": 18
}

Install Replicate’s Node.js client library:

npm install replicate

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 teaglis-kury/sana using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "teaglis-kury/sana:91cd900a8aa8af90e508a857d6e86abbfb6fe5b16c9bad17184ef171ede239c6",
  {
    input: {
      seed: 42,
      width: 512,
      height: 512,
      prompt: "frog",
      guidance_scale: 5,
      negative_prompt: "",
      pag_guidance_scale: 2,
      num_inference_steps: 18
    }
  }
);

// 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

Import the client:

import replicate

Run teaglis-kury/sana using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "teaglis-kury/sana:91cd900a8aa8af90e508a857d6e86abbfb6fe5b16c9bad17184ef171ede239c6",
    input={
        "seed": 42,
        "width": 512,
        "height": 512,
        "prompt": "frog",
        "guidance_scale": 5,
        "negative_prompt": "",
        "pag_guidance_scale": 2,
        "num_inference_steps": 18
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run teaglis-kury/sana 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": "teaglis-kury/sana:91cd900a8aa8af90e508a857d6e86abbfb6fe5b16c9bad17184ef171ede239c6",
    "input": {
      "seed": 42,
      "width": 512,
      "height": 512,
      "prompt": "frog",
      "guidance_scale": 5,
      "negative_prompt": "",
      "pag_guidance_scale": 2,
      "num_inference_steps": 18
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.1 seconds

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