firtoz/trellis:44512d6c – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

firtoz /trellis:44512d6c

Playground API

Input

image

*file

Input image to generate 3D asset from

output_format

string

Output format for the 3D asset

Default: "mesh"

Including seed and 7 more...

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

npx create-replicate --model=firtoz/trellis

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

const output = await replicate.run(
  "firtoz/trellis:44512d6c1b80503b7658e45f3524ffa2b87794a1696e5158c598637ff533fade",
  {
    input: {
      seed: 0,
      texture_size: 1024,
      mesh_simplify: 0.95,
      output_format: "mesh",
      randomize_seed: true,
      ss_sampling_steps: 12,
      slat_sampling_steps: 12,
      ss_guidance_strength: 7.5,
      slat_guidance_strength: 3
    }
  }
);

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

output = replicate.run(
    "firtoz/trellis:44512d6c1b80503b7658e45f3524ffa2b87794a1696e5158c598637ff533fade",
    input={
        "seed": 0,
        "texture_size": 1024,
        "mesh_simplify": 0.95,
        "output_format": "mesh",
        "randomize_seed": True,
        "ss_sampling_steps": 12,
        "slat_sampling_steps": 12,
        "ss_guidance_strength": 7.5,
        "slat_guidance_strength": 3
    }
)
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 firtoz/trellis 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": "firtoz/trellis:44512d6c1b80503b7658e45f3524ffa2b87794a1696e5158c598637ff533fade",
    "input": {
      "seed": 0,
      "texture_size": 1024,
      "mesh_simplify": 0.95,
      "output_format": "mesh",
      "randomize_seed": true,
      "ss_sampling_steps": 12,
      "slat_sampling_steps": 12,
      "ss_guidance_strength": 7.5,
      "slat_guidance_strength": 3
    }
  }' \
  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.