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ComfyUI Hunyuan 3D 2.0 Multi View - 1 Image Create 3D Mesh Object No Problem!
🕑 Added 2025-03-25 13:42:30 +0000 UTC
Video: https://youtu.be/GqBW9xfUSBU
In this blog post, I’ll guide you through my ComfyUI workflow for generating 3D objects using Hunyuan 3D 2.0 MV (Multi-View). This native integration allows you to create detailed 3D meshes from multi-angle images without relying on external custom nodes. Let’s dive into how this powerful tool works and how you can optimize it for the best results.
Workflow Overview
The Hunyuan 3D 2.0 MV workflow in ComfyUI enables the generation of 3D mesh objects from multi-view reference images. Unlike traditional single-view 3D reconstruction, this method uses multiple angles (front, side, back, etc.) to improve accuracy and detail.
Key Features
Multi-View Conditioning – Uses multiple images (front, side, back) to generate a more accurate 3D mesh.
Native ComfyUI Support – No need for custom nodes; works directly with the latest ComfyUI update.
Fast & Lightweight – The FP16 model is only 4.9GB, making it efficient for local GPUs.
High-Resolution Output – Default resolution of 3072px, adjustable for better quality.
3D Mesh Export – Saves generated objects in .obj format for use in Blender or other 3D software.
Step-by-Step Workflow
1. Setting Up Hunyuan 3D 2.0 MV in ComfyUI
Ensure you have the latest ComfyUI version (git pull in the terminal).
Download the Hunyuan 3D 2.0 MV model from Hugging Face (FP16 SafeTensor file).
Place the model in ComfyUI/models/checkpoints/.
2. Loading the Multi-View Workflow
In ComfyUI, navigate to the 3D tab and select Hunyuan 3D 2.0 MV.
The default workflow includes:
Clip Vision Encoders (for multi-view conditioning).
K Sampler (steps: 20, CFG: 7.5).
Hunyuan 3D VAE Decode (specialized for 3D mesh reconstruction).
Mesh Output Node (exports the 3D object).
3. Preparing Multi-View Input Images
For best results:
Use clean, isolated images (remove backgrounds to avoid noise).
Capture at least three angles (front, side, back).
(Optional) Use WAN 2.1’s 360° Rotation LoRA to generate multi-view references from a single image.
4. Running the Generation
Load images into the respective Clip Vision slots (front, side, back).
Adjust resolution (default: 3072px) if needed.
Click Queue Prompt to generate the 3D mesh.
The output is saved in ComfyUI/output/mesh/ as an .obj file.
Multi-View vs. Single-View: Key Differences
Feature Multi-View (Hunyuan 3D 2.0 MV) Single-View (Standard Hunyuan 3D 2.0)
Input Requirements Multiple angles (front, side, back) Single image (front view only)
Accuracy High (captures full 3D structure) Low (guesses side/back details)
Use Case Detailed 3D models for animation Quick previews, low-detail objects
Output Quality Sharp edges, correct proportions Blurry sides, floating artifacts
Optimizing the Workflow
1. Remove Backgrounds Before Processing
Use AI segmentation tools (e.g., RemBG) to isolate objects.
Prevents unwanted elements (grass, trees) from corrupting the 3D mesh.
2. Use 360° Rotation for Reference Images
Generate multi-view angles with WAN 2.1’s 360° LoRA.
Helps capture all sides without manual photography.
3. Post-Processing in Blender
Import the .obj file for:
Texturing (use AI-generated color transfers).
Rigging & Animation (if needed).
4. Style Transfer with WAN 2.1
Record a rotating 3D preview in ComfyUI.
Use Depth Map Control LoRA to re-colorize the mesh in video form.
Conclusion
The Hunyuan 3D 2.0 MV workflow in ComfyUI is a game-changer for AI-assisted 3D modeling. By leveraging multi-view inputs, you can generate high-fidelity 3D meshes with accurate proportions—far surpassing single-view methods.
Key Takeaways:
✅ Multi-view = Better Accuracy (always remove backgrounds!).
✅ Use 360° LoRA for easy reference image generation.
✅ Export to Blender for texturing/animation.
✅ Combine with WAN 2.1 for dynamic style transfers.
Ready to try it out? Download the Hunyuan 3D 2.0 MV model and start creating! For more advanced workflows, check out my tutorials on WAN 2.1 video enhancements and Video2Video using Depth Lora
Related Video Tutorials:
ComfyUI Wan 2.1 Depth Control Lora
https://www.youtube.com/watch?v=aDzFbb-YDbI
ComfyUI Wan 2.1 Skip Layer Guidance
https://www.youtube.com/watch?v=xY56o8wxQu0
Attached the mod workflow mentioned in the tutorial, have fun :)
Comments
Benjamin Law
That is in the Depth Lora tutorial Which I have linked in the bottom of this post.
polsegu 1
Great video! I didn't quite understand the texture part. I see that you use Wan 2.1 to create a 3D vision of the character, then generate the 3D object. After that, it seems like you get the distances to apply the color, but I didn't fully understand how you do that part. Would it be possible for you to share the .json file so I can see how you handle that part of the process? Even if it's the premium version, it would be great to understand more deeply how you work on it.
