Initial release: Qwen-Image-Uncensored-2.1 GGUF

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README.md

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+---
+license: other
+license_name: qwen-research
+base_model:
+  - Qwen/Qwen-Image-2.1
+base_model_relation: quantized
+pipeline_tag: text-to-image
+library_name: gguf
+tags:
+  - gguf
+  - qwen
+  - image-generation
+  - comfyui
+  - comfyui-gguf
+---
+
+> [!IMPORTANT]
+> The uncensored GGUFs are now available!
+> If you encounter any issues or would like to share your generated images, feel free to post them in the Community section.
+
+# Qwen-Image-2.1 Uncensored GGUF
+
+GGUF quantizations of [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1) for local image generation using the original upstream base weights.
+
+## Benchmark
+
+![Qwen-Image-2.1 benchmark](assets/Qwen-Image-2.1-Benchmark.png)
+
+## Uncensored GGUF Files
+
+| **Quantization** | **File** | **Size** |
+| --- | --- | ---: |
+| BF16 | [**qwen-image-2.1-UC-BF16.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-UC-BF16.gguf) | 14.23 GB |
+| Q8_0 | [**qwen-image-2.1-UC-Q8_0.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-UC-Q8_0.gguf) | 7.59 GB |
+| Q6_K | [**qwen-image-2.1-UC-Q6_K.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-UC-Q6_K.gguf) | 5.88 GB |
+| Q5_K_M | [**qwen-image-2.1-UC-Q5_K_M.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-UC-Q5_K_M.gguf) | 5.22 GB |
+| Q4_K_M | [**qwen-image-2.1-UC-Q4_K_M.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-UC-Q4_K_M.gguf) | 4.60 GB |
+| Q4_0 | [**qwen-image-2.1-UC-Q4_0.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-UC-Q4_0.gguf) | 4.15 GB |
+
+**Q4_K_M** is recommended for the best balance of size and quality.
+
+## GGUF files
+
+| **Quantization** | **File** | **Size** |
+| --- | --- | ---: |
+| Q8_0 | [**qwen-image-2.1-Q8_0.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/base/qwen-image-2.1-Q8_0.gguf) | 7.59 GB |
+| Q6_K | [**qwen-image-2.1-Q6_K.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/base/qwen-image-2.1-Q6_K.gguf) | 5.88 GB |
+| Q5_K_M | [**qwen-image-2.1-Q5_K_M.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/base/qwen-image-2.1-Q5_K_M.gguf) | 5.22 GB |
+| Q4_K_M | [**qwen-image-2.1-Q4_K_M.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/base/qwen-image-2.1-Q4_K_M.gguf) | 4.60 GB |
+| Q4_0 | [**qwen-image-2.1-Q4_0.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/base/qwen-image-2.1-Q4_0.gguf) | 4.05 GB |
+
+
+## Text Encoders & VAE
+
+Companion model files packaged for ComfyUI:
+
+| **Type** | **File** | **Precision** | **Size** |
+| --- | --- | --- | ---: |
+| Text Encoder | [**text_encoders/qwen3vl_8b_bf16.safetensors**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/text_encoders/qwen3vl_8b_bf16.safetensors) | BF16 | 17.53 GB |
+| Text Encoder | [**text_encoders/qwen3vl_8b_int8_convrot.safetensors**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors) | Int8 | 9.35 GB |
+| VAE | [**vae/qwen_image_2.1_vae_bf16.safetensors**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/vae/qwen_image_2.1_vae_bf16.safetensors) | BF16 | 676 MB |
+
+## Usage
+
+Use the model with [ComfyUI](https://github.com/comfyanonymous/ComfyUI) and [ComfyUI-GGUF](https://github.com/leejet/ComfyUI-GGUF).
+
+All required companion files (GGUF transformer, text encoder, and VAE) are hosted directly in this repository.
+
+### 1. Download & File Placement
+
+Download the files and place them in their respective ComfyUI directories:
+
+```text
+ComfyUI/
+└── models/
+    ├── diffusion_models/
+    │   └── qwen-image-2.1-UC-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
+```
+
+### 2. ComfyUI Setup
+
+1. **Install ComfyUI-GGUF**: Use the maintained fork with native Qwen-Image 2.1 support by cloning [leejet/ComfyUI-GGUF](https://github.com/leejet/ComfyUI-GGUF) into your custom nodes:
+   ```bash
+   cd ComfyUI/custom_nodes
+   git clone https://github.com/leejet/ComfyUI-GGUF
+   ```
+   *(Note: If you have the older `city96/ComfyUI-GGUF` installed and encounter an `Unknown model architecture!` error, update to the `leejet` fork above or add `ModelQwenImage` to `tools/convert.py`).*
+2. **Node Configuration**:
+   - **Diffusion Model**: Add the **`Unet Loader (GGUF)`** node and select your downloaded `.gguf` file.
+   - **Text Encoder**: Add the standard **`CLIPLoader`** node, select `qwen3vl_8b_bf16.safetensors` (or `int8`), and set **`type`** to **`qwen_image`**.
+   - **VAE**: Add the standard **`VAELoader`** node and select `qwen_image_2.1_vae_bf16.safetensors`.
+3. **Official Workflows**:
+   - You can use the official Comfy-Org workflow templates: [Text-to-Image](https://github.com/Comfy-Org/workflow_templates/blob/main/templates/image_qwen_image_2_1_t2i.json) or [Image Edit](https://github.com/Comfy-Org/workflow_templates/blob/main/templates/image_qwen_image_2_1_image_edit.json).
+   - In the workflow, simply replace the default `UNETLoader` node with **`Unet Loader (GGUF)`**.
+
+### Memory & Performance Notes
+
+- **Optimal Setup (GPU + RAM)**: Keep the **GGUF diffusion model in GPU VRAM** (where speed is crucial during sampling) and let the **text 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-UC-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 `--lowvram` argument.
+
+## Uncensored
+
+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.
+
+## Source and build
+
+- **Source model:** [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1)
+- **Text encoder & VAE source:** [Comfy-Org/Qwen-Image-2.1](https://huggingface.co/Comfy-Org/Qwen-Image-2.1)
+- **Source revision:** `b3179ad355be050328e483a9dfdd9e60cd62adfa`
+- **Conversion:** [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) commit `1330cebae8f2ba99249df846cc0c9444fcbd4308`
+- **License:** Qwen Research License
+- **Checksums:** [SHA256SUMS](./SHA256SUMS)

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