Hunyuan3D-2 Local Workflow & Optimizer

Skip unstable browser queues. Calculate your local GPU/VRAM capability, get custom optimization flags, and download ready-to-run ComfyUI Hunyuan3D workflows.

Independent Portal

TriposRai is an independent creator resource. All hardware estimations, launch arguments, and JSON configurations are community-engineered based on open specifications. Read our independent model disclaimer before starting.

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Interactive Tool

GPU & VRAM Compatibility Calculator

Select your local GPU family and target precision to estimate model inference speeds, identify peak VRAM allocations, and auto-generate optimized local CLI execution flags.

2 GB 8 GB 16 GB 24 GB 48 GB 64 GB

Diagnostic Report

Highly Compatible
Peak VRAM Allocation 11.8 GB / 12 GB (98%)
Estimated Speed ~12.4s per 3D generation
OOM Hazard Risk Medium out-of-memory probability

Recommended Local Startup Flags

Terminal: bash
python app.py --use_cuda --attention_sdpa

Your hardware runs standard FP16 comfortably. For maximum reliability, use PyTorch SDPA memory-efficient attention.

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Digital Asset

Verified ComfyUI Workflow Center

Drag-and-drop our standard Hunyuan3D-2 ComfyUI workflow JSON into your node canvas to immediately integrate AI 3D generation.

1
Load Image
Output: IMAGE âž”
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2
Hunyuan3D Loader
Input: model weights
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3
Multi-View Gen
Generate orthographic angles
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4
Mesh Generator
Compile GLB / OBJ mesh
Workflow JSON copied to clipboard!

Required ComfyUI Custom Node Extension

This workflow requires the ComfyUI-Hunyuan3D-Wrapper custom node cloned inside your `custom_nodes/` directory.

git clone https://github.com/mrforfun/ComfyUI-Hunyuan3D.git

Step-by-Step Local Deployment & ComfyUI Setup

Getting Hunyuan3D-2 up and running locally yields dramatically higher quality and consistent generation than struggling with browser sandboxes. Follow our simple, three-step integration manual:

01

Download Weight Checkpoints

Download the required checkpoints from the official Tencent model repository. Place them in your standard model directory:

  • Standard Checkpoint: hunyuan3d-2-std-fp16.safetensors
  • Light Checkpoint: hunyuan3d-2-light-fp16.safetensors
  • Place models inside: ComfyUI/models/checkpoints/ or your specific models/hunyuan3d/ folders.
02

Install ComfyUI Custom Nodes

Open a terminal in your ComfyUI setup and run the following command to clone the necessary nodes to translate our JSON:

cd ComfyUI/custom_nodes/
git clone https://github.com/mrforfun/ComfyUI-Hunyuan3D.git
pip install -r ComfyUI-Hunyuan3D/requirements.txt
03

Import and Play

Launch ComfyUI using your recommended startup parameters, click "Clear" to wipe the screen, drag our downloaded JSON onto your browser canvas, load a clean reference image, and press "Queue Prompt".

Local Pipeline Advantages

Running Hunyuan3D-2 in ComfyUI or via CLI natively solves the critical issues of public servers. You gain full control over the Marching Cubes resolutions, geometry refinement steps, and vertex color mapping.

Furthermore, a local setup eliminates strict content queue regulations, allows batch generations via custom scripting, and seamlessly pipes outputs directly into Blender, Unity, or Unreal Engine directories.

Hunyuan3D-2 vs. TripoSR

While TripoSR is unmatched in raw inference speed (often generating models in under a second), Hunyuan3D-2 offers far richer multi-view consistency. It is ideal for complex, textured subjects where geometry alignment from the back and sides is vital.

We suggest using TripoSR for rapid, real-time prototyping inside applications, and reserving local Hunyuan3D-2 for high-detail asset creation that will undergo manual retopology.

Official Source Repositories & Citation Cards

Confirm current updates, model license details, and deep architecture changes directly from the original Tencent Hunyuan research channels:

Deep Dive Comparison & Integration Guides

If your local tests succeed, read our detailed technical analysis comparing workflows, speed benchmarks, and optimization steps across different generation stacks:

Hunyuan3D Local Setup FAQ

Is this an official Tencent Hunyuan3D page?

No. This is an independent TriposRai tool and workflow resource page. All references to Hunyuan3D are for factual identification, compatibility calculations, and tutorial purposes. It is not affiliated with, endorsed by, or operated by Tencent.

What are the core hardware requirements for running Hunyuan3D-2 locally?

Hunyuan3D-2 comes in two variants: Standard and Light. The Standard model uses a larger geometry generator and textures, requiring at least 12GB to 16GB of dedicated VRAM. The Light model is highly optimized, requiring only 6GB to 8GB of VRAM, making it fully compatible with mid-range consumer laptops and GPUs.

How do I load the downloadable ComfyUI Hunyuan3D workflow?

First, download our workflow JSON file using the download button on this page. Next, open your ComfyUI browser interface and simply drag and drop the JSON file into the canvas. You will need to clone the official or community ComfyUI-Hunyuan3D custom node extension and download the model checkpoints from Hugging Face.

How does the VRAM/Hardware Compatibility Calculator work?

The calculator uses official Tencent benchmark metrics and extensive community testing data. It correlates your GPU family, actual VRAM size, and model precision (FP16, INT8, INT4) to estimate peak VRAM consumption, generation speeds, OOM risks, and recommends optimal startup commands.

Does Hunyuan3D-2 support commercial use?

Yes. Under Tencent's licensing terms, the Hunyuan3D-2 model weights and code are released under a permissive open-source license that allows commercial use, provided you comply with the standard terms, acceptable use guidelines, and attribution rules outlined in their official repository.