nvidia/sana-sprint-1.6b:ecb75b9e – Run with an API on Replicate

Version

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nvidia /sana-sprint-1.6b:ecb75b9e

Input

prompt

string

Shift + Return to add a new line

a tiny astronaut hatching from an egg on the moona tiny astronaut hatching from an egg on the moon

Input prompt

Default: "a tiny astronaut hatching from an egg on the moon"

width

integer

(minimum: 256, maximum: 4096)

Width of output image

Default: 1024

height

integer

(minimum: 256, maximum: 4096)

Height of output image

Default: 1024

inference_steps

integer

(minimum: 1, maximum: 4)

Number of sampling steps

Default: 2

guidance_scale

number

(minimum: 1, maximum: 20)

CFG guidance scale

Default: 4.5

seed

integer

Seed value. Set to a value less than 0 to randomize the seed

Default: -1

output_format

string

Format of the output images

Default: "jpg"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

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

npx create-replicate --model=nvidia/sana-sprint-1.6b

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 nvidia/sana-sprint-1.6b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nvidia/sana-sprint-1.6b:ecb75b9e4f9f2fd2611c99d93515819042b292dac037ab0a42584e00ebad99b5",
  {
    input: {
      seed: -1,
      width: 1024,
      height: 1024,
      prompt: "a tiny astronaut hatching from an egg on the moon",
      output_format: "jpg",
      guidance_scale: 4.5,
      output_quality: 80,
      inference_steps: 2
    }
  }
);

// 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 nvidia/sana-sprint-1.6b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nvidia/sana-sprint-1.6b:ecb75b9e4f9f2fd2611c99d93515819042b292dac037ab0a42584e00ebad99b5",
    input={
        "seed": -1,
        "width": 1024,
        "height": 1024,
        "prompt": "a tiny astronaut hatching from an egg on the moon",
        "output_format": "jpg",
        "guidance_scale": 4.5,
        "output_quality": 80,
        "inference_steps": 2
    }
)
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 nvidia/sana-sprint-1.6b 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": "nvidia/sana-sprint-1.6b:ecb75b9e4f9f2fd2611c99d93515819042b292dac037ab0a42584e00ebad99b5",
    "input": {
      "seed": -1,
      "width": 1024,
      "height": 1024,
      "prompt": "a tiny astronaut hatching from an egg on the moon",
      "output_format": "jpg",
      "guidance_scale": 4.5,
      "output_quality": 80,
      "inference_steps": 2
    }
  }' \
  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.