Qwen-Image-2.1-4bit

QuantFunc/Qwen-Image-2.1-4bit

PublisherQuantFunc

Download access requirementsModelScope source

🌐 QuantFunc 官网     🐙 GitHub     🤗 Hugging Face    

Image Generation

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

🌐 QuantFunc 官网    

🐙 GitHub    

🤗 Hugging Face    

🤖 ModelScope    

💬 WeChat（微信）    

🎮 Discord

Qwen-Image-2.1-QuantFunc-4bit

4 倍压缩，却依然保持高画质。**

QuantFunc INT4 将 Qwen-Image-2.1 压缩至 16-bit 版本的约四分之一。在我们的视觉对比中，其构图、文字渲染、细节和风格表现仍接近 16-bit 基线。

效果展示

以下图片均由 Qwen-Image-2.1-QuantFunc-4bit 生成。

花卉广告设计人像摄影

-- ---

*中文美食海报** **趣味生活场景**

只换一个加载器，工作流原样保留

安装或更新 ComfyUI-QuantFunc。
下载 r128 或 r32 权重。
将原模型加载器替换为 QuantFunc 加载器并选择对应权重。

其他节点、连接和生成参数均可保持不变。

从 RTX 20 系列到 GB300，一套方案直接覆盖

支持所有 NVIDIA **SM75 及以上** GPU，覆盖 RTX 20 / 30 / 40 / 50 系列，以及 A100、H100、H200、B100、B200 和 GB300。

4-bit 权重显著降低模型加载与推理时的权重带宽压力，让 Qwen-Image-2.1 更容易部署到消费级显卡。实际显存需求取决于分辨率、批大小及工作流中的其他模型。

选择模型

版本文件大小推荐场景

-- --- ---: ---
*r128** qwen image 21 base quantfunc int4 r128.safetensors 约 4.3 GB 画质优先，推荐首选
*r32** qwen image 21 base quantfunc int4 r32.safetensors 约 4.0 GB 体积与显存优先

加载说明

权重采用 QuantFunc 专用 Safetensors 格式，请使用 **ComfyUI-QuantFunc** 或 **QuantFunc 推理引擎**加载，不能作为普通 Diffusers 检查点直接使用。

如遇到模型无法识别或加载失败，请先将 ComfyUI-QuantFunc 更新至最新版本并重启 ComfyUI。

来源与许可

本仓库分发基于 Qwen/Qwen-Image-2.1 生成的派生量化权重,由 Qwen 团队发布。

Qwen-Image-2.1 及其派生权重遵循 **Qwen Research License**(license text)。QuantFunc 的量化工具与相关实现遵循其各自许可证。使用前请阅读并遵守原始模型的许可条款。

社区

🌐 QuantFunc 官网

🐙 ComfyUI-QuantFunc GitHub

🎮 Discord 服务器

💬 扫描下方二维码加入微信群

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

你将获得什么

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

Qwen-Image-2.1-4bit model download

Download the full repository or choose a version or file.

Download tools · More than GGUF

Use the Hugging Face download tool to obtain QuantFunc/Qwen-Image-2.1-4bit. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: 0bab73e495cb7cbcc7715afa07d9e24f6a03e2aa. Downloads files only; does not start the model.

Choose a download source

Pinned ModelScope version: 0bab73e495cb7cbcc7715afa07d9e24f6a03e2aa. Version identifiers can differ across sites. The alternative source was provided after checking weights and runtime configuration; this is not proof of a successful model run.

A checked, pinned ModelScope source is available for this model. Use the ModelScope download tool.

Choose what to download

Need just one GGUF precision? Load the file manifest and choose a version. Direct file links do not require Python; the command below can download multiple shards together.

Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

First time? Install the download tool

Copy this command, paste it into the terminal, press Enter and wait for installation to finish.

python -m pip install --upgrade huggingface_hub

Already installed? Continue to step 3.

Run the download command

Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.

Copying does not start a download. Paste and run the command on your device.

Where are the downloaded files?

Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.

No response or an error?

python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

View the full download command

modelscope download --model "QuantFunc/Qwen-Image-2.1-4bit" --revision "0bab73e495cb7cbcc7715afa07d9e24f6a03e2aa" --local_dir "./models/QuantFunc--Qwen-Image-2.1-4bit--ms-0bab73e495cb"

Files transfer directly from the source you choose, not through Xianshe servers.

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.