tencent/hunyuan3d-2mv:71798fbc | Run with an API on Replicate

Version

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tencent /hunyuan3d-2mv:71798fbc

Playground API

Input

front_image

*file

Front view image

back_image

file

Back view image

left_image

file

Left view image

right_image

file

Right view image

steps

integer

(minimum: 1, maximum: 100)

Number of inference steps

Default: 30

guidance_scale

number

Guidance scale

Default: 5

seed

integer

Random seed

Default: 1234

Including octree_resolution and 5 more...

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

npx create-replicate --model=tencent/hunyuan3d-2mv

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 tencent/hunyuan3d-2mv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tencent/hunyuan3d-2mv:71798fbc3c9f7b7097e3bb85496e5a797d8b8f616b550692e7c3e176a8e9e5db",
  {
    input: {
      seed: 1234,
      steps: 30,
      file_type: "glb",
      num_chunks: 200000,
      guidance_scale: 5,
      randomize_seed: true,
      target_face_num: 10000,
      octree_resolution: 256,
      remove_background: true
    }
  }
);

// 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 tencent/hunyuan3d-2mv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tencent/hunyuan3d-2mv:71798fbc3c9f7b7097e3bb85496e5a797d8b8f616b550692e7c3e176a8e9e5db",
    input={
        "seed": 1234,
        "steps": 30,
        "file_type": "glb",
        "num_chunks": 200000,
        "guidance_scale": 5,
        "randomize_seed": True,
        "target_face_num": 10000,
        "octree_resolution": 256,
        "remove_background": True
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run tencent/hunyuan3d-2mv 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": "tencent/hunyuan3d-2mv:71798fbc3c9f7b7097e3bb85496e5a797d8b8f616b550692e7c3e176a8e9e5db",
    "input": {
      "seed": 1234,
      "steps": 30,
      "file_type": "glb",
      "num_chunks": 200000,
      "guidance_scale": 5,
      "randomize_seed": true,
      "target_face_num": 10000,
      "octree_resolution": 256,
      "remove_background": true
    }
  }' \
  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.