saganaki22/pixal3d-comfyui — explained in plain English
Analysis updated 2026-05-18
Generate a textured 3D model in GLB format from a single photo inside an existing ComfyUI workflow.
Add image-to-3D generation to an AI art or asset creation pipeline for use in Blender or game engines.
Experiment with camera control and background removal options while generating 3D assets from images.
| saganaki22/pixal3d-comfyui | 16nic/comfyui-agnes-ai | 6c696e68/gpt_signup_hybrid | |
|---|---|---|---|
| Stars | 19 | 19 | 19 |
| Language | Python | Python | Python |
| Setup difficulty | hard | moderate | hard |
| Complexity | 5/5 | 2/5 | 4/5 |
| Audience | developer | vibe coder | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires an Nvidia GPU with exactly matching Python, PyTorch, and CUDA wheel versions, Windows setup is especially finicky.
Pixal3D-ComfyUI is a plugin, called custom nodes in the ComfyUI ecosystem, that brings TencentARC's Pixal3D model into ComfyUI, a popular open-source tool for building AI image workflows. Pixal3D is an image-to-3D generation system: you give it a photo of an object, and it produces a 3D model in GLB format, a standard file format for 3D graphics that can be opened in tools like Blender, game engines, or viewed in browsers. The 3D model includes textures, meaning it looks like the original image and not just a blank shape. ComfyUI lets users visually connect AI models together in a node graph, similar to a flowchart. This plugin adds Pixal3D as a set of nodes you can drop into that graph. Features include FlashAttention 2 and 3 support, a technique that speeds up AI processing, manual camera control for adjusting the viewing angle during generation, optional automatic background removal, and the ability to unload the model from GPU memory when not in use. The setup is notably complex because Pixal3D requires several specialized CUDA libraries, compiled code built for Nvidia GPUs, that must exactly match your Python version, PyTorch version, CUDA version, and GPU architecture. The README includes an extensive Windows-specific guide with pre-built wheel files, ready-made installable packages, for common combinations of these versions. It also documents a fallback mode for when a matching NATTEN library build cannot be found, which trades some speed and quality for compatibility. You would use this if you already work with ComfyUI for AI image generation and want to add 3D model creation from photos to your workflow. It is aimed at users comfortable installing GPU-specific Python packages rather than complete beginners. The full README is longer than what was shown.
Pixal3D-ComfyUI adds ComfyUI nodes for TencentARC's Pixal3D model, turning a single photo into a textured 3D GLB model, with detailed but demanding GPU-specific setup.
Mainly Python. The stack also includes Python, ComfyUI, PyTorch.
No license information given in the README.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.