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Generate 3D Models from Images using Hunyuan3D AI via Replicate

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Created by: Yaron Been || yaron-nofluff

Yaron Been

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Last update a day ago

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Ndreca Hunyuan3d 2 Test AI Generator

Description

None

Overview

This n8n workflow integrates with the Replicate API to use the ndreca/hunyuan3d-2-test model. This powerful AI model can generate high-quality other content based on your inputs.

Features

  • Easy integration with Replicate API
  • Automated status checking and result retrieval
  • Support for all model parameters
  • Error handling and retry logic
  • Clean output formatting

Parameters

Required Parameters

  • image (string): Input image for generating 3D shape

Optional Parameters

  • seed (integer, default: 1234): Random seed for generation
  • steps (integer, default: 50): Number of inference steps
  • num_chunks (integer, default: 200000): Number of chunks for mesh generation
  • max_facenum (integer, default: 40000): Maximum number of faces for mesh generation
  • guidance_scale (number, default: 5.5): Guidance scale for generation
  • octree_resolution (string, default: 512): Octree resolution for mesh generation
  • remove_background (boolean, default: True): Whether to remove background from input image

How to Use

  1. Set up your Replicate API key in the workflow
  2. Configure the required parameters for your use case
  3. Run the workflow to generate other content
  4. Access the generated output from the final node

API Reference

Requirements

  • Replicate API key
  • n8n instance
  • Basic understanding of other generation parameters