ComfyUI 是一款功能強大且靈活的圖像處理與生成工具,以其模組化設計和直觀的節點式工作流程深受使用者喜愛。它不僅支援多種圖像處理任務,還能輕鬆整合進階功能,讓使用者能夠快速實現從簡單編輯到複雜生成的需求。無論你是想處理單張圖片還是批量操作,ComfyUI 都能提供高效且穩定的體驗,成為許多創作者和技術愛好者的首選工具。
在這個基礎上,Inspyrenet-Rembg 作為一個專為 ComfyUI 打造的客製化節點,進一步提升了背景移除的品質與效率。這個節點基於 InSPyReNet 技術開發,相較於其他常見的 AI 背景移除方法(如 BRIA、U2Net、IsNet 或 SAM),Inspyrenet-Rembg 在多次測試中展現出無與倫比的優越表現,其效果堪稱「另一個層次」。它不僅能精準分割圖像中的主體與背景,還能處理細節豐富的邊緣,讓移除後的結果自然且乾淨。更棒的是,InSPyReNet 採用 MIT 許可證,這意味著它允許商業使用,對於需要將技術應用於實際專案的使用者來說無疑是一大優勢。這個節點不僅支援單張圖片處理,還能高效率的處理批量圖像,甚至針對視訊幀進行優化,速度快到令人驚嘆。同時,它還能輸出處理後的圖像及其對應的遮罩。如果你正在尋找一個品質頂尖又實用的背景移除解決方案,ComfyUI 搭配 Inspyrenet-Rembg 絕對值得一試。
Inspyrenet-Rembg 的 GitHub:https://github.com/john-mnz/ComfyUI-Inspyrenet-Rembg
工作流:Inspyrenet-Rembg.json
{"last_node_id":15,"last_link_id":15,"nodes":[{"id":12,"type":"MaskToImage","pos":[1455.868896484375,213.5457305908203],"size":[264.5999755859375,26],"flags":{},"order":3,"mode":0,"inputs":[{"name":"mask","localized_name":"mask","type":"MASK","link":12}],"outputs":[{"name":"IMAGE","localized_name":"IMAGE","type":"IMAGE","links":[13],"slot_index":0}],"properties":{"Node name for S&R":"MaskToImage"},"widgets_values":[]},{"id":13,"type":"PreviewImage","pos":[1461.1591796875,294.2070007324219],"size":[210,246],"flags":{},"order":4,"mode":0,"inputs":[{"name":"images","localized_name":"images","type":"IMAGE","link":13}],"outputs":[],"properties":{"Node name for S&R":"PreviewImage"},"widgets_values":[]},{"id":9,"type":"SaveImage","pos":[1130,300],"size":[210,270],"flags":{},"order":2,"mode":0,"inputs":[{"name":"images","localized_name":"images","type":"IMAGE","link":10}],"outputs":[],"properties":{},"widgets_values":["ComfyUI"]},{"id":10,"type":"InspyrenetRembg","pos":[1123.3079833984375,169.9097137451172],"size":[315,78],"flags":{},"order":1,"mode":0,"inputs":[{"name":"image","localized_name":"image","type":"IMAGE","link":15}],"outputs":[{"name":"IMAGE","localized_name":"IMAGE","type":"IMAGE","links":[10],"slot_index":0},{"name":"MASK","localized_name":"MASK","type":"MASK","links":[12],"slot_index":1}],"properties":{"Node name for S&R":"InspyrenetRembg"},"widgets_values":["default"]},{"id":15,"type":"LoadImage","pos":[781.767333984375,175.96673583984375],"size":[315,314],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"IMAGE","localized_name":"IMAGE","type":"IMAGE","links":[15]},{"name":"MASK","localized_name":"MASK","type":"MASK","links":null}],"properties":{"Node name for S&R":"LoadImage"},"widgets_values":["NONE","image"]}],"links":[[10,10,0,9,0,"IMAGE"],[12,10,1,12,0,"MASK"],[13,12,0,13,0,"IMAGE"],[15,15,0,10,0,"IMAGE"]],"groups":[],"config":{},"extra":{"ds":{"scale":1,"offset":[-584.9672629282277,-21.566744550974747]},"node_versions":{"comfy-core":"0.3.18","comfyui-inspyrenet-rembg":"1.1.1"}},"version":0.4}
▲ 由右上進入 ComfyUI 的「Manager」選單,點選「Custom Nodes Manager」,準備安裝客製化節點 Inspyrenet-Rembg。
▲ 在搜尋框輸入「Inspyrenet-Rembg」,找到對應節點後,點擊「Install」開始安裝。
▲ 選擇要安裝的版本,建議選擇「latest」,確保獲得最新功能與最佳穩定性,然後點擊「Select」。
▲ 安裝完成後,系統會提示需要重新啟動 ComfyUI,點擊「Restart」讓變更生效。
▲ 重新啟動後,開啟「Workflow」選單,選擇「Open」匯入去背工作流(本文前文後有提供)。
▲ 上傳圖片後,點擊「Queue」開始處理,Inspyrenet-Rembg 會生成去背後的圖像及遮罩。
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