ComfyUI - ComfyUI 工作流中集成 SAM2 + GroundingDINO 处理图像与视频教程

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SAM2

SAM2 与 GroundingDINO 结合，在图像分割和目标检测领域带来显著的进展，SAM2 实现精确的图像分割，而 GroundingDINO 则强化模型的目标检测能力，提供更加准确和细致的物体识别。在实际应用中，能够有效提升各类复杂图像处理任务的性能，协同工作提高处理速度，还确保高精度和稳定性。

ComfyUI 部署节点的 3 个步骤：

准备节点(Node) 工程，git clone，位于 ComfyUI/custom_nodes
安装依赖包，进入工程，运行 pip install -r requirements.txt
(可选) 模型提前下载，放入相应的文件夹中
重启服务，刷新页面，即可运行。

下载工程：ComfyUI-segment-anything-2、ComfyUI-Florence2、ComfyUI-KJNodes、ComfyUI-SAM2、ComfyUI-VideoHelperSuite

cd ComfyUI/custom_nodes

git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git
git clone https://github.com/kijai/ComfyUI-segment-anything-2.git
git clone https://github.com/kijai/ComfyUI-Florence2.git
git clone https://github.com/kijai/ComfyUI-KJNodes.git

# v1.0 版本，被 ComfyUI-SAM2替代
# git clone https://github.com/storyicon/comfyui_segment_anything 
git clone https://github.com/neverbiasu/ComfyUI-SAM2.git

pip install -r requirements.txt

1.ComfyUI-segment-anything-2

节点：ComfyUI-segment-anything-2

准备模型：

SAM2 模型 - ComfyUI/models/sam2
Florence-2 模型ComfyUI/models/LLM，用于代替检测模型，例如 GroundingDINO，参考 ComfyUI-Florence2

支持处理视频流程，但是整体分割效果非常一般，而且 Points 效果也比较一般。

依赖节点：ComfyUI-Florence2、ComfyUI-KJNodes、ComfyUI-VideoHelperSuite

测试示例位于：https://github.com/kijai/ComfyUI-segment-anything-2/tree/main/examples

例如：points_segment_video_example.json

Load Video (Upload)，加载视频节点
Points Editor，Point 编辑节点，使用 shift + 左右键，选择正负点。
(Down)Load SAM2Model，下载或加载模型，sam2.1_hiera_large-fp16.safetensors，选择 fp16
Sam2Segmentation 分割节点，注意，需要重新添加，默认流程有问题，接受正负点。
Preview Animation 显示动画效果

即：

2.ComfyUI-SAM2

节点：ComfyUI-SAM2

准备模型：models/bert-base-uncased、models/grounding-dino、models/sams

GroundingDino + SAM2，只有 3 个节点，功能比较单一，检测效果较好。

GroundingDinoModelLoader (segment anything2)，加载 DINO 模型
SAM2ModelLoader (segment anything2)，加载 SAM2 模型
GroundingDinoSAM2Segment (segment anything2)，合并，只有2个参数，Prompt 和阈值

测试模型效果，支持多个词汇，例如 person 和 book，注意逗号分割，即：

效果如下：

SAM2

Workflow1：

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242}]"]},{"id":102,"type":"VHS_LoadVideo","pos":{"0":14,"1":-59},"size":[363.24957275390625,619.2495727539062],"flags":{},"order":1,"mode":0,"inputs":[{"name":"meta_batch","type":"VHS_BatchManager","link":null,"shape":7,"label":"meta_batch"},{"name":"vae","type":"VAE","link":null,"shape":7,"label":"vae"}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[43,52,57],"slot_index":0,"shape":3,"label":"IMAGE"},{"name":"frame_count","type":"INT","links":null,"shape":3,"label":"frame_count"},{"name":"audio","type":"AUDIO","links":null,"shape":3,"label":"audio"},{"name":"video_info","type":"VHS_VIDEOINFO","links":null,"shape":3,"label":"video_info"}],"properties":{"Node name for S&R":"VHS_LoadVideo"},"widgets_values":{"video":"2851_1708350515(原视频).mp4","force_rate":0,"force_size":"512x?","custom_width":512,"custom_height":512,"frame_load_cap":16,"skip_first_frames":0,"select_every_nth":3,"choose video to upload":"image","videopreview":{"hidden":false,"paused":false,"params":{"frame_load_cap":16,"skip_first_frames":0,"force_rate":0,"filename":"2851_1708350515(原视频).mp4","type":"input","format":"video/mp4","select_every_nth":3,"force_size":"512x?"}}}},{"id":114,"type":"PointsEditor","pos":{"0":439,"1":-477},"size":[557,812],"flags":{"collapsed":false},"order":3,"mode":0,"inputs":[{"name":"bg_image","type":"IMAGE","link":52,"shape":7,"label":"bg_image"}],"outputs":[{"name":"positive_coords","type":"STRING","links":[53,55],"slot_index":0,"shape":3,"label":"positive_coords"},{"name":"negative_coords","type":"STRING","links":[60,62],"slot_index":1,"shape":3,"label":"negative_coords"},{"name":"bbox","type":"BBOX","links":null,"slot_index":2,"shape":3,"label":"bbox"},{"name":"bbox_mask","type":"MASK","links":null,"shape":3,"label":"bbox_mask"},{"name":"cropped_image","type":"IMAGE","links":null,"shape":3,"label":"cropped_image"}],"properties":{"Node name for S&R":"PointsEditor","imgData":{"name":"bg_image","base64":[""]},"points":"PointsEditor","neg_points":"PointsEditor"},"widgets_values":["{\"positive\":[{\"x\":256,\"y\":256},{\"x\":237,\"y\":463},{\"x\":321,\"y\":138}],\"negative\":[{\"x\":0,\"y\":0},{\"x\":426,\"y\":242}]}","[{\"x\":256,\"y\":256},{\"x\":237,\"y\":463},{\"x\":321,\"y\":138}]","[{\"x\":0,\"y\":0},{\"x\":426,\"y\":242}]","[{}]","[{}]","xyxy",512,512,false,null,null,null]},{"id":106,"type":"DownloadAndLoadSAM2Model","pos":{"0":459,"1":393},"size":{"0":315,"1":130},"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[{"name":"sam2_model","type":"SAM2MODEL","links":[56],"shape":3,"label":"sam2_model"}],"properties":{"Node name for S&R":"DownloadAndLoadSAM2Model"},"widgets_values":["sam2.1_hiera_large.safetensors","video","cuda","fp16"]},{"id":115,"type":"Sam2Segmentation","pos":{"0":898,"1":393},"size":{"0":315,"1":190},"flags":{},"order":7,"mode":0,"inputs":[{"name":"sam2_model","type":"SAM2MODEL","link":56,"label":"sam2_model"},{"name":"image","type":"IMAGE","link":57,"label":"image"},{"name":"bboxes","type":"BBOX","link":null,"shape":7,"label":"bboxes"},{"name":"mask","type":"MASK","link":null,"shape":7,"label":"mask"},{"name":"coordinates_positive","type":"STRING","link":55,"widget":{"name":"coordinates_positive"},"shape":7,"label":"coordinates_positive"},{"name":"coordinates_negative","type":"STRING","link":61,"widget":{"name":"coordinates_negative"},"shape":7,"label":"coordinates_negative"}],"outputs":[{"name":"mask","type":"MASK","links":[59],"slot_index":0,"label":"mask"}],"properties":{"Node name for S&R":"Sam2Segmentation"},"widgets_values":[true,"","",false]},{"id":107,"type":"PreviewAnimation","pos":{"0":1340,"1":-59},"size":{"0":514.92431640625,"1":577.3973999023438},"flags":{},"order":8,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":43,"shape":7,"label":"images"},{"name":"masks","type":"MASK","link":59,"slot_index":1,"shape":7,"label":"masks"}],"outputs":[],"title":"Preview Animation 16x512x512","properties":{"Node name for S&R":"PreviewAnimation"},"widgets_values":[16,null]}],"links":[[43,102,0,107,0,"IMAGE"],[52,102,0,114,0,"IMAGE"],[53,114,0,112,0,"STRING"],[55,114,0,115,4,"STRING"],[56,106,0,115,0,"SAM2MODEL"],[57,102,0,115,1,"IMAGE"],[59,115,0,107,1,"MASK"],[60,114,1,116,0,"*"],[61,116,0,115,5,"STRING"],[62,114,1,117,0,"STRING"]],"groups":[],"config":{},"extra":{"ds":{"scale":0.5131581182307067,"offset":[396.07947776523474,760.0658700441401]}},"version":0.4}

Workflow2：

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