abenzerps/Qwen-Image-2.1-Uncensored-GGUF
Summary
GGUF quantizations of the Qwen-Image-2.1 model for local image generation using ComfyUI, with recommended quantizations and setup instructions for deployment.
View Cached Full Text
Cached at: 09/21/26, 08:55 AM
abenzerps/Qwen-Image-2.1-Uncensored-GGUF · Hugging Face
Source: https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF
**Notice regarding Q8_0:**Depending on your GPU and ComfyUI environment,
qwen\-image\-2\.1\-Q8\_0\.ggufmight encounter a shape mismatch error (\[136\] vs \[128\]). Feel free to test it, but for guaranteed stability, we recommend usingQ4_K_M,Q5_K_M, orQ6_Kinstead. A patched Q8_0 file will be uploaded soon.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#qwen-image-21-uncensored-ggufQwen-Image-2.1 Uncensored GGUF
GGUF quantizations ofQwen/Qwen-Image-2.1for local image generation using the original upstream base weights.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#benchmarkBenchmark
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#gguf-filesGGUF files
Q4_K_Mis recommended for the best balance of size and quality.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#text-encoders–vaeText Encoders & VAE
Companion model files packaged for ComfyUI:
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#usageUsage
Use the model withComfyUIandComfyUI-GGUF.
All required companion files (GGUF transformer, text encoder, and VAE) are hosted directly in this repository.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#1-download–file-placement1. Download & File Placement
Download the files and place them in their respective ComfyUI directories:
ComfyUI/
└── models/
├── diffusion_models/
│ └── qwen-image-2.1-Q4_K_M.gguf # Choose one GGUF quantization (Q4_K_M recommended)
├── text_encoders/
│ └── qwen3vl_8b_bf16.safetensors # Or qwen3vl_8b_int8_convrot.safetensors (recommended for lower memory)
└── vae/
└── qwen_image_2.1_vae_bf16.safetensors
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#2-comfyui-setup2. ComfyUI Setup
- Install ComfyUI-GGUF: Use the maintained fork with native Qwen-Image 2.1 support by cloningleejet/ComfyUI-GGUFinto your custom nodes:
cd ComfyUI/custom_nodes git clone https://github.com/leejet/ComfyUI-GGUF(Note: If you have the oldercity96/ComfyUI\-GGUFinstalled and encounter anUnknown model architecture\!error, update to theleejetfork above or addModelQwenImagetotools/convert\.py). - Node Configuration:- Diffusion Model: Add the**
Unet Loader \(GGUF\)node and select your downloaded\.gguffile. - Text Encoder: Add the standardCLIPLoadernode, selectqwen3vl\_8b\_bf16\.safetensors(orint8), and settypetoqwen\_image. - VAE: Add the standardVAELoader**node and selectqwen\_image\_2\.1\_vae\_bf16\.safetensors. - Official Workflows:- You can use the official Comfy-Org workflow templates:Text-to-ImageorImage Edit. - In the workflow, simply replace the default
UNETLoadernode with**Unet Loader \(GGUF\)**.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#memory–performance-notesMemory & Performance Notes
- Optimal Setup (GPU + RAM): Keep theGGUF diffusion model in GPU VRAM(where speed is crucial during sampling) and let thetext encoder run in / offload to System RAM (CPU). Because text encoding only runs once per prompt, this saves 9–17 GB of VRAM with virtually zero impact on generation speed.
- Recommended Configuration:- Diffusion:
qwen\-image\-2\.1\-Q4\_K\_M\.gguf(~4.6 GB in VRAM) - Text Encoder:qwen3vl\_8b\_int8\_convrot\.safetensors(~9.35 GB in RAM) - Low VRAM Mode: If you experience VRAM out-of-memory errors, start ComfyUI with the
\-\-lowvramargument.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#uncensoredUncensored
This GGUF release has no built-in safety checker or content filter. It generates adult, NSFW, and sensitive imagery directly without prompt refusals or blacked-out images. Output behavior depends solely on the input prompts and the environment in which the model is executed.
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF#source-and-buildSource and build
- Source model:Qwen/Qwen-Image-2.1
- Text encoder & VAE source:Comfy-Org/Qwen-Image-2.1
- Source revision:
b3179ad355be050328e483a9dfdd9e60cd62adfa - Conversion:stable-diffusion.cppcommit
1330cebae8f2ba99249df846cc0c9444fcbd4308 - **License:**Qwen Research License
- Checksums:SHA256SUMS
Similar Articles
orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF
This article releases GGUF quantizations of the uncensored Qwen3.8-Flash-Next model, a Mixture-of-Experts preview of the Qwen4 architecture designed for llama.cpp with vision support, requiring a custom build for compatibility.
Comfy-Org/Qwen-Image-2.1
Repackaged model files for Qwen-Image-2.1 optimized for ComfyUI workflows, including text-to-image and image edit capabilities.
empero-ai/Qwen3.8-27B-Ridge-GGUF
This article describes the release of a quantized GGUF version of the Qwen3.8-27B AI model, optimized for efficient local inference on hardware with limited VRAM.
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF
A quantized GGUF release of the Qwen3.8-27B model with reduced refusal behavior, retaining multi-token prediction and offering various quantization options for use with llama.cpp.
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF
This repository provides GGUF quantizations of the Qwen3.8-27B AI model using GSQ and RCO methods for efficient deployment in standard tools.
