mareksagan/dreamgaussian:d16b4890 | Run with an API on Replicate

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mareksagan /dreamgaussian:d16b4890

Playground API

Input

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

npx create-replicate --model=mareksagan/dreamgaussian

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

const output = await replicate.run(
  "mareksagan/dreamgaussian:d16b4890fd9d1996aa7e018c261237e3c4157d20489773f3022ef10de6c06909",
  {
    input: {
      elevation: 0,
      num_steps: 500,
      image_size: 256,
      num_point_samples: 1000,
      num_refinement_steps: 50
    }
  }
);

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

output = replicate.run(
    "mareksagan/dreamgaussian:d16b4890fd9d1996aa7e018c261237e3c4157d20489773f3022ef10de6c06909",
    input={
        "elevation": 0,
        "num_steps": 500,
        "image_size": 256,
        "num_point_samples": 1000,
        "num_refinement_steps": 50
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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 mareksagan/dreamgaussian 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": "mareksagan/dreamgaussian:d16b4890fd9d1996aa7e018c261237e3c4157d20489773f3022ef10de6c06909",
    "input": {
      "elevation": 0,
      "num_steps": 500,
      "image_size": 256,
      "num_point_samples": 1000,
      "num_refinement_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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