Fix Cannot Import ComfyUI-GGUF Module: No Module Named 'gguf'
ModuleNotFoundError: No module named 'gguf' occurs when the ComfyUI-GGUF custom node folder is cloned into custom_nodes/, but the Python gguf package was installed into your global system Python instead of ComfyUI's embedded or virtual environment Python. Run pip install –upgrade gguf using the exact Python executable that launches ComfyUI.
1. Exact Terminal Error Signature & Stack Trace
If your standalone ComfyUI, Ollama, or Python terminal outputs the following error on Windows 10/11 x64 or Linux x64:
Traceback (most recent call last):
File "ComfyUI/custom_nodes/ComfyUI-GGUF/__init__.py", line 7, in <module>
import gguf
ModuleNotFoundError: No module named 'gguf'
Cannot import ComfyUI-GGUF module for custom nodes: No module named 'gguf'2. Root Cause in Standalone Python, ComfyUI, or Ollama
[Verified] On Windows portable ComfyUI builds, running pip install gguf in a standard Command Prompt installs the library into C:\Users\<User>\AppData\Local\Programs\Python, whereas ComfyUI actually runs under python_embeded\python.exe. In addition, newer FLUX.2 and Z-Image quantized architectures require gguf>=0.13.0.
3. Manual CLI Fix for Standalone Users (100% Free Utility)
Run the following commands in your terminal or update your launch configuration to resolve the issue immediately in a standalone installation:
# For Windows Portable ComfyUI (run from the root folder containing python_embeded):
.\python_embeded\python.exe -m pip install --upgrade gguf protobuf sentencepiece
# For Linux or Windows venv installs:
./venv/bin/python -m pip install --upgrade gguf protobuf sentencepiece
# Reload ComfyUI and verify UnetLoaderGGUF appears in the Add Node menu.4. How Logen 1.4.0 Prevents This Error Automatically
Logen 1.4.0 bundles and pre-verifies ComfyUI-GGUF along with matching gguf, protobuf, and sentencepiece wheels inside its isolated runtime during first-run setup. You never have to clone GitHub repositories or debug python_embeded paths manually.
Supported platforms: Windows 10/11 x64 (Logen-1.4.0-Setup.exe) and Linux x64 (Logen-1.4.0.AppImage, Logen-1.4.0-amd64.deb). macOS is not supported.
5. Check Your GPU & Model Memory Headroom
Calculate Exact Dedicated VRAM Headroom on Windows 10/11 & Linux x64
Select your NVIDIA graphics card, diffusion model, operating system, and target resolution to compute deterministic peak VRAM usage before you download weights.
Formula: Dedicated_VRAM (12.0 GB) – [Weights (6.8 GB) + Encoder (1.2 GB) + VAE Buffer (0.9 GB) + OS Reserve (1.5 GB)] = +1.60 GB available headroom.
6. Troubleshooting FAQ: Fix Cannot Import ComfyUI-GGUF Module: No Module Named 'gguf'
Why does ComfyUI still say No module named gguf after I ran pip install gguf?
You ran pip against your system Python rather than ComfyUI's isolated interpreter. Always invoke python -m pip install gguf using the exact python binary inside ComfyUI's venv or python_embeded directory.
What version of the gguf Python library is required for FLUX Q4_K_S models?
Install gguf>=0.13.0 so the reader recognizes current quantization tensor headers and architecture metadata.
Does Logen 1.4.0 support GGUF quantized models out of the box?
Yes. Logen 1.4.0 ships with ComfyUI-GGUF pre-installed and uses FLUX.1-schnell GGUF Q4_K_S as its default Free starter model.
7. Related Local AI & ComfyUI Error Guides
- Fix torch.cuda.OutOfMemoryError in ComfyUI on 8GB and 12GB NVIDIA GPUs (VRAM & OOM)
- Fix Prompt Outputs Failed Validation: DualCLIPLoader / VAELoader Not Found in ComfyUI (Missing Nodes & Checkpoints)
- Fix AssertionError: Torch Not Compiled with CUDA Enabled on Windows 10/11 (Python & CUDA Environment)
- Fix CUDA Out of Memory When Running Ollama and ComfyUI Together (VRAM & OOM)
- Fix Windows 10/11 WDDM Shared GPU Memory Slowdown (Why FLUX Drops from 25s to 4 Minutes) (VRAM & OOM)
- Fix Error: connect ECONNREFUSED 127.0.0.1:11434 (WinError 10061) in Local AI Apps (Ollama & Background Services)
- Fix Black Image or NaN Tensor Output When Decoding FLUX VAE in ComfyUI (VAE & Precision Errors)
- Fix dlopen(): error loading libfuse.so.2 When Launching AppImage on Ubuntu 22.04 / 24.04 (Linux Desktop & Packaging)
- Fix OutOfMemoryError During 4x RealESRGAN 4K Upscaling in ComfyUI (VRAM & OOM)
Checking hardware compatibility? Browse the Local AI GPU & VRAM Compatibility Index or explore Logen 1.4.0 Desktop Studio.
Generate with FLUX.1-schnell, FLUX.2 [klein] 4B & Z-Image-Turbo in a self-healing desktop studio.
Logen 1.4.0 manages ComfyUI and Ollama automatically on your NVIDIA GPU with zero monthly fees.