camenduru / dust3r

{
  "niter": 300,
  "refid": 0,
  "image1": "https://replicate.delivery/pbxt/KVCgnEVoTYocNCeWjCeEjc1RILo8u4d3jqPX9Srak3QiX0rB/frame01.jpg",
  "image2": "https://replicate.delivery/pbxt/KVCgnxgya22Ksw8WwG2gYLZIu07Ch6eQkzwoQQDeMbH2FXf4/frame02.jpg",
  "winsize": 1,
  "cam_size": 0.05,
  "mask_sky": false,
  "schedule": "linear",
  "image_size": 512,
  "clean_depth": true,
  "min_conf_thr": 3,
  "as_pointcloud": false,
  "scenegraph_type": "complete",
  "transparent_cams": false
}

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 camenduru/dust3r using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/dust3r:d0e12b55655b28ed3349cca6d7c567db6237382c59d2e3d5dbe4d324c6df20c7",
  {
    input: {
      niter: 300,
      refid: 0,
      image1: "https://replicate.delivery/pbxt/KVCgnEVoTYocNCeWjCeEjc1RILo8u4d3jqPX9Srak3QiX0rB/frame01.jpg",
      image2: "https://replicate.delivery/pbxt/KVCgnxgya22Ksw8WwG2gYLZIu07Ch6eQkzwoQQDeMbH2FXf4/frame02.jpg",
      winsize: 1,
      cam_size: 0.05,
      mask_sky: false,
      schedule: "linear",
      image_size: 512,
      clean_depth: true,
      min_conf_thr: 3,
      as_pointcloud: false,
      scenegraph_type: "complete",
      transparent_cams: false
    }
  }
);

// 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 camenduru/dust3r using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/dust3r:d0e12b55655b28ed3349cca6d7c567db6237382c59d2e3d5dbe4d324c6df20c7",
    input={
        "niter": 300,
        "refid": 0,
        "image1": "https://replicate.delivery/pbxt/KVCgnEVoTYocNCeWjCeEjc1RILo8u4d3jqPX9Srak3QiX0rB/frame01.jpg",
        "image2": "https://replicate.delivery/pbxt/KVCgnxgya22Ksw8WwG2gYLZIu07Ch6eQkzwoQQDeMbH2FXf4/frame02.jpg",
        "winsize": 1,
        "cam_size": 0.05,
        "mask_sky": False,
        "schedule": "linear",
        "image_size": 512,
        "clean_depth": True,
        "min_conf_thr": 3,
        "as_pointcloud": False,
        "scenegraph_type": "complete",
        "transparent_cams": False
    }
)

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

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

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

Run camenduru/dust3r 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": "camenduru/dust3r:d0e12b55655b28ed3349cca6d7c567db6237382c59d2e3d5dbe4d324c6df20c7",
    "input": {
      "niter": 300,
      "refid": 0,
      "image1": "https://replicate.delivery/pbxt/KVCgnEVoTYocNCeWjCeEjc1RILo8u4d3jqPX9Srak3QiX0rB/frame01.jpg",
      "image2": "https://replicate.delivery/pbxt/KVCgnxgya22Ksw8WwG2gYLZIu07Ch6eQkzwoQQDeMbH2FXf4/frame02.jpg",
      "winsize": 1,
      "cam_size": 0.05,
      "mask_sky": false,
      "schedule": "linear",
      "image_size": 512,
      "clean_depth": true,
      "min_conf_thr": 3,
      "as_pointcloud": false,
      "scenegraph_type": "complete",
      "transparent_cams": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

4.1 seconds

Tweak it ShareReport

Want to make some of these yourself?

Run this model