ControlNet for SD WebUI
ControlNet extension for the A1111 WebUI: pose, depth, edges and more.
- Star 数
- 17.8K
- Fork 数
- 2K
- 未关闭 Issue
- 171
- 最近提交
- 2024-08-12
数据来自 GitHub API · 更新于 2026-10-15
ControlNet for SD WebUI 是什么？
This extension adds ControlNet to the AUTOMATIC1111 WebUI so you can guide generation with OpenPose skeletons, depth maps, Canny edges, line art, segmentation and reference images. It includes preprocessors that extract these maps from your own photos.
主要功能
- Dozens of preprocessors (OpenPose, Depth, Canny, Lineart, …)
- Multi-ControlNet stacking
- Reference-only and IP-Adapter support
- Pixel-perfect mode and control weight scheduling
系统要求
- 平台
- Windows · macOS · Linux
- 显存
- 6 GB+ recommended
- 备注
- Requires the A1111 WebUI (Forge bundles its own ControlNet).
如何安装 ControlNet for SD WebUI
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。
From the WebUI
- 1In the WebUI open Extensions → Install from URL.
- 2Paste https://github.com/Mikubill/sd-webui-controlnet.git and click Install, then restart the UI.
- 3Download ControlNet models into extensions/sd-webui-controlnet/models.
优势
- Precise composition and pose control
- Large preprocessor set
不足
- Tied to the A1111 ecosystem
- Models are large
ControlNet for SD WebUI 替代品对比
| 软件 | Star 数 | 许可证 | 平台 | 显存 |
|---|---|---|---|---|
| ControlNet for SD WebUI ControlNet extension for the A1111 WebUI: pose, depth, edges and more. | 17.8K | GPL-3.0 | 6 GB+ recommended | |
| ComfyUI Node-based interface for diffusion models — images, video and audio. | 137.6K | GPL-3.0 | 4 GB minimum for SD1.5; 12 GB+ recommended for FLUX and video models | |
| Stable Diffusion WebUI Forge A faster, leaner fork of the A1111 WebUI with FLUX support. | 13.1K | AGPL-3.0 | 6 GB+ (FLUX NF4/GGUF variants run on 6–8 GB) | |
| IP-Adapter Use an image as a prompt — style and subject transfer for diffusion models. | 6.7K | Apache-2.0 | 6 GB+ | |
| Stable Diffusion WebUI (AUTOMATIC1111) The classic browser UI for Stable Diffusion with a massive extension ecosystem. | 165.1K | AGPL-3.0 | 4 GB minimum (with --medvram/--lowvram), 8 GB+ recommended | |
| Fooocus Midjourney-like simplicity for SDXL: type a prompt and press Generate. | 53.4K | GPL-3.0 | 4 GB minimum, 6 GB+ recommended |
相关模型
常见问题
ControlNet for SD WebUI 免费吗？
是的——ControlNet for SD WebUI 是开源软件，采用 GPL-3.0 许可证。商用前请确认软件及模型权重的许可条款。
ControlNet for SD WebUI 支持 Windows、Mac 和 Linux 吗？
ControlNet for SD WebUI 支持：Windows, macOS, Linux。
运行 ControlNet for SD WebUI 需要什么配置？
VRAM: 6 GB+ recommended
如何安装 ControlNet for SD WebUI？
1. In the WebUI open Extensions → Install from URL. 2. Paste https://github.com/Mikubill/sd-webui-controlnet.git and click Install, then restart the UI. 3. Download ControlNet models into extensions/sd-webui-controlnet/models.
ControlNet for SD WebUI 有哪些好的替代品？
常见替代品包括 ComfyUI, Stable Diffusion WebUI Forge, IP-Adapter, Stable Diffusion WebUI (AUTOMATIC1111)，详见本页对比表。
可以不安装、在线使用 ControlNet for SD WebUI 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。