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---
license: apache-2.0
tags:
- comfyui
- pixal3d
- 3d-generation
- moge
- rmbg
---
# Pixal3D & MoGe Models for ComfyUI
This repository contains the pre-downloaded and compiled model weights required to run **Pixal3D-ComfyUI** on a Windows/Linux system (including Docker environments). Using these pre-downloaded files prevents runtime downloads and allows offline or air-gapped deployments.
---
## 📁 Repository Folder Structure / Cấu trúc thư mục
To run Pixal3D correctly, place the files in this repository into your ComfyUI models directory as follows:
```
ComfyUI/
└── models/
├── Pixal3D/
│ ├── TencentARC_Pixal3D/ # Shape & Texture SLat checkpoints
│ ├── briaai_RMBG-2.0/ # Background removal model
│ ├── camenduru_dinov3-vitl16-pretrain-lvd... # DINOv3 ViT pretrain weights
│ └── torch_hub/ # Neighborhood Attention Flow (NAF) upsampler weights
│ └── hub/
│ └── checkpoints/
│ └── naf_release.pth
└── geometry_estimation/ # MoGe Camera & Normal estimation models
├── moge_1_vitl_fp16.safetensors
└── moge_2_vitl_normal_fp16.safetensors
```
---
## 🚀 How to Download and Setup / Hướng dẫn cài đặt
### Option 1: Direct Download (Manual) / Tải thủ công
1. Download the `Pixal3D` and `geometry_estimation` folders from this repository.
2. Move them directly to your ComfyUI `models/` directory:
* Copy `Pixal3D/` folder to `ComfyUI/models/Pixal3D/`
* Copy `geometry_estimation/` folder to `ComfyUI/models/geometry_estimation/`
---
### Option 2: Using Hugging Face CLI / Sử dụng dòng lệnh
If you want to pull these models on a new server or another machine via the terminal, use the following commands:
```bash
# Install Hugging Face Hub library
pip install huggingface_hub
# Download Pixal3D models
hf download vuong69/pixal3d-models --local-dir ./models --local-dir-use-symlinks False
```
---
## ⚙️ Model Loader Settings in ComfyUI
To ensure ComfyUI uses these local models and does not try to download anything from the internet at runtime, set the following option in your **Pixal3D Model Loader** node:
* `download_if_missing` = `false` (since all weights are already locally present in the correct path).