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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_nodesgit 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.gitpip 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 fp16Sam2Segmentation
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:
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 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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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