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图像生成AGPL-3.0Python

Stable Diffusion WebUI (AUTOMATIC1111)

The classic browser UI for Stable Diffusion with a massive extension ecosystem.

GitHub文档
Star 数
165.1K
Fork 数
33.4K
未关闭 Issue
2.5K
最近提交
2026-03-02

数据来自 GitHub API · 更新于 2026-10-15

Stable Diffusion WebUI (AUTOMATIC1111) 是什么？

AUTOMATIC1111’s Stable Diffusion WebUI is the Gradio interface that popularized local image generation. It offers txt2img, img2img, inpainting, outpainting, upscaling and prompt tools out of the box, plus thousands of extensions such as ControlNet. Development has slowed, and newer forks (Forge, reForge, SD.Next) add support for newer models.

主要功能

  • txt2img, img2img, inpainting, outpainting and upscaling tabs
  • Extensions tab with one-click installs (ControlNet, ADetailer, …)
  • Prompt matrix, X/Y/Z plots and batch processing
  • LoRA, textual inversion and hypernetwork support
  • Built-in API for automation

系统要求

平台
Windows · macOS · Linux
显卡
NVIDIA recommended; AMD and Apple Silicon supported with caveats
显存
4 GB minimum (with --medvram/--lowvram), 8 GB+ recommended
内存
16 GB
Python
3.10.6 (newer versions are not supported by the install scripts)

如何安装 Stable Diffusion WebUI (AUTOMATIC1111)

根据项目 README 整理。开源项目更新很快，请以 GitHub 页面上的最新说明为准。

Windows

  1. 1
    Install Python 3.10.6 (tick “Add Python to PATH”) and Git.
  2. 2
    Clone the repository.
    git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
  3. 3
    Run webui-user.bat from Explorer as a normal user. The first run downloads dependencies.
  4. 4
    Open http://127.0.0.1:7860 in your browser.

Linux

  1. 1
    Install dependencies (Debian/Ubuntu shown).
    sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
  2. 2
    Clone and launch.
    git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
./webui.sh

macOS (Apple Silicon)

  1. 1
    Install the build dependencies with Homebrew.
    brew install cmake protobuf rust python@3.10 git wget
  2. 2
    Clone and launch.
    git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
./webui.sh

优势

  • Huge library of extensions and tutorials
  • Familiar tabbed interface
  • Stable for SD1.5 and SDXL workflows

不足

  • Slow to adopt new architectures such as FLUX
  • Heavier on VRAM than Forge or ComfyUI
  • Pinned to an old Python version

Stable Diffusion WebUI (AUTOMATIC1111) 替代品对比

软件Star 数许可证平台显存
Stable Diffusion WebUI (AUTOMATIC1111)

The classic browser UI for Stable Diffusion with a massive extension ecosystem.

165.1KAGPL-3.04 GB minimum (with --medvram/--lowvram), 8 GB+ recommended
Stable Diffusion WebUI Forge

A faster, leaner fork of the A1111 WebUI with FLUX support.

13.1KAGPL-3.06 GB+ (FLUX NF4/GGUF variants run on 6–8 GB)
SD.Next

All-in-one WebUI supporting dozens of diffusion models and every GPU backend.

7.4KApache-2.04 GB+ depending on model
ComfyUI

Node-based interface for diffusion models — images, video and audio.

137.6KGPL-3.04 GB minimum for SD1.5; 12 GB+ recommended for FLUX and video models
InvokeAI

Professional creative engine with a unified canvas for Stable Diffusion and FLUX.

28.6KApache-2.04 GB for SD1.5, 8 GB for SDXL, 10 GB+ for FLUX
Fooocus

Midjourney-like simplicity for SDXL: type a prompt and press Generate.

53.4KGPL-3.04 GB minimum, 6 GB+ recommended

相关模型

Stable Diffusion生态最庞大的开源图像模型。

常见问题

Stable Diffusion WebUI (AUTOMATIC1111) 免费吗？

是的——Stable Diffusion WebUI (AUTOMATIC1111) 是开源软件，采用 AGPL-3.0 许可证。商用前请确认软件及模型权重的许可条款。

Stable Diffusion WebUI (AUTOMATIC1111) 支持 Windows、Mac 和 Linux 吗？

Stable Diffusion WebUI (AUTOMATIC1111) 支持：Windows, macOS, Linux。

运行 Stable Diffusion WebUI (AUTOMATIC1111) 需要什么配置？

NVIDIA recommended; AMD and Apple Silicon supported with caveats. VRAM: 4 GB minimum (with --medvram/--lowvram), 8 GB+ recommended. RAM: 16 GB

如何安装 Stable Diffusion WebUI (AUTOMATIC1111)？

1. Install Python 3.10.6 (tick “Add Python to PATH”) and Git. 2. Clone the repository. 3. Run webui-user.bat from Explorer as a normal user. The first run downloads dependencies. 4. Open http://127.0.0.1:7860 in your browser.

Stable Diffusion WebUI (AUTOMATIC1111) 有哪些好的替代品？

常见替代品包括 Stable Diffusion WebUI Forge, SD.Next, ComfyUI, InvokeAI，详见本页对比表。

可以不安装、在线使用 Stable Diffusion WebUI (AUTOMATIC1111) 吗？

如果只想要结果，AiLoft 可在浏览器中运行 GPT Image 2.5、Nano Banana Pro 等顶级图像模型，无需显卡和配置。

不想安装？直接在浏览器里生成图片

无需显卡、驱动或 Python。在线使用 GPT Image 2.5 和 Nano Banana Pro，并排对比效果。

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