Pixal3D GGUF in ComfyUI — Image to 3D with Only 6GB VRAM!

Install & run Pixal3D GGUF in ComfyUI — full image-to-3D workflow on just 6GB VRAM. Q4 vs Q8 vs FP16 quality comparison, GLB export & Blender mesh evaluation. 100% free, fully local.

Generate fully textured 3D models (GLB) from a single image using Pixal3D GGUF running inside ComfyUI — optimized for GPUs with only 6GB VRAM, including the RTX 3060, RTX 4060, and most mid-range cards. No subscription, no cloud, no usage caps. Completely open source and free.

In this complete step-by-step tutorial I cover:
✅ What Pixal3D GGUF is and why it matters for low-VRAM users
✅ Installing Pixal3D via ComfyUI Manager (stable entry by Saganaki22)
✅ Installing all required CUDA dependencies and custom wheels
✅ FlashAttention 2/3 setup and choosing the right attention backend
✅ NATTEN library installation and troubleshooting
✅ Configuring and loading the image-to-3D ComfyUI workflow
✅ Generating your first 3D model from a reference image
✅ Q4 vs Q8 vs FP16 quantization — quality AND speed comparison
✅ Exporting textured GLB files for use in any 3D application
✅ Evaluating and inspecting the generated mesh in Blender

Pixel3D GGUF is built on TencentARC's Pixal3D model, bringing GGUF quantization to image-to-3D generation for the first time — making high-quality 3D asset creation accessible to anyone with a mid-range NVIDIA GPU.

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🔧 LINKS & RESOURCES
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▶ ComfyUI-Easy-Install : https://github.com/Tavris1/ComfyUI-Easy-Install

▶ GGUF FILE AND WORKFLOW : https://drive.google.com/drive/folders/1VirxiIYKKwP76j9EkX18r09LZlVl4oaZ?usp=drive_link

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🖥️ MINIMUM SYSTEM REQUIREMENTS
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▶ GPU: NVIDIA RTX (6GB ) or higher
▶ OS: Windows 10/11 (Linux supported)
▶ CUDA: 12.1 or higher
▶ Python: 3.10 or 3.11
▶ RAM: 32GB recommended

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📌 RELATED VIDEOS
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▶ Trellis 2 on 4GB VRAM: https://youtu.be/hq1CQxLCcE8?si=vcaGu-_L4oBjzB_8
▶ Trellis 2 on 6GB VRAM: https://youtu.be/6DD3cCJS-d8?si=tWUCylT6b1DwJOSs

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Видео Pixal3D GGUF in ComfyUI — Image to 3D with Only 6GB VRAM! канала Comfyui Tutorial