基于 instantX-research/diffusers_sd3_control: 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX. (github.com)

和 

ZHO-ZHO-ZHO/ComfyUI-SD3-Medium-CN-Diffusers: ComfyUI SD3-Medium ControlNet（Diffusers） (github.com)

改的，这两个repo都有些问题，中间看提交记录，有好些人在参与改动，为了能跑的了，我分别fork了这两个分支， 在这里：

prodogape/ComfyUI-SD3-Medium-CN-Diffusers: ComfyUI SD3-Medium ControlNet（Diffusers） (github.com)

prodogape/diffusers_sd3_control: refactor name from "diffusers" to "diffusers_sd3_control" (github.com)

1. 先说怎么装

打开第一个橘色背景的repo：

prodogape/ComfyUI-SD3-Medium-CN-Diffusers: ComfyUI SD3-Medium ControlNet（Diffusers） (github.com)

按照Install这里的步骤安装

时间有限只写了手动安装的步骤，分4步：

（1）git 克隆 comfyui的节点

（2）下载hf的两个仓库的模型（一个controlnet一个sd3）

（3）修改sd3模型文件夹下的文件model_index.json，因为要安装的特殊版本的diffusers我改名为diffusers_sd3_control了

（4）安装diffusers_sd3_control

2. 工作流及效果

这个版本的实现应该还是有些问题的，可能跟control的百分比和control了不太对的部分有关

3. 上图的工作流（非API版本工作流）

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      "flags": {},
      "order": 2,
      "mode": 0,
      "inputs": [
        {
          "name": "image",
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      ],
      "outputs": [
        {
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          "links": [
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          "shape": 3,
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      ],
      "properties": {
        "Node name for S&R": "CannyEdgePreprocessor"
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      ],
      "properties": {
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    {
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          "slot_index": 0
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        {
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      ],
      "properties": {
        "Node name for S&R": "LoadImage"
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      "widgets_values": [
        "IMG_20240617_070212_131.jpeg",
        "image"
      ]
    },
    {
      "id": 76,
      "type": "SD3MCN_BaseModelLoader_Zho",
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      "flags": {},
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        {
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      ],
      "properties": {
        "Node name for S&R": "SD3MCN_BaseModelLoader_Zho"
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      "widgets_values": [
        "stabilityai/stable-diffusion-3-medium-diffusers",
        "InstantX/SD3-Controlnet-Canny"
      ]
    },
    {
      "id": 78,
      "type": "SD3MCN_Generation_Zho",
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      ],
      "outputs": [
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          ],
          "shape": 3,
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "SD3MCN_Generation_Zho"
      },
      "widgets_values": [
        "close-up of a young girl, masterpiece, best quality, photo, realistic, very aesthetic",
        "worst quality, low quality, toon",
        512,
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      ]
    }
  ],
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