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工作流名称：AI电商产品模特替换
【工作流介绍】
这个工作流分了3个部分，第一部分通过肖像大师和WD14 Tagger反推提示词，在肖像大师这可以选择国籍，修改模特肤色。第二部分通过ControlNet对图像进行控制，然后使用SDXL模型进行文生图。第三部分用Flux模型对形象图生图优化。最后再进行叠加处理图像。目前，采样器内置参数已经完成设置，您可以直接运行。快来体验一下吧！
【使用场景】
这个工作流可以使任何人拿着产品去当模特拍摄，实现了保证商品不变的前提下，重新生成模特，省去了电商商品找模特拍摄，后期修复图像环节。
【关键节点】
instantID
【模型版本】
SDXL
模型名称:dreamshaperXl lightningDPMSDE.safetensors
FLUX
模型名称:flux1-dev-fp8-Kjai.safetensors
【LoRA模型】
无
【ControlNet应用】
control-lora-depth-rank256
开始时间：0
结束时间：1
强度：0.6
control-lora-canny-rank256
开始时间：0
结束时间：1
强度：0.5
【K采样器】
CFG：2
采样方法：dpmpp sde
调度器：karras
降噪：1
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下载
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54
打开AI应用'%3e%3cg%3e%3cpath d='M2.00048828125%2c13.15673828125C2.00048828125%2c13.43287828125%2c2.22434628125%2c13.65673828125%2c2.50048828125%2c13.65673828125L3.00048828125%2c13.65673828125L3.00048828125%2c6.15673828125C3.00048828125%2c5.88059628125%2c2.77663028125%2c5.65673828125%2c2.50048828125%2c5.65673828125C2.22434628125%2c5.65673828125%2c2.00048828125%2c5.88059628125%2c2.00048828125%2c6.15673828125L2.00048828125%2c13.15673828125Z' fill='%23D8D8D8' fill-opacity='1'/%3e%3c/g%3e%3cg transform='matrix(0%2c1%2c-1%2c0%2c22.656814575195312%2c2.6558380126953125)'%3e%3cpath d='M10.00048828125%2c13.156326293945312L10.00048828125%2c20.656326293945312L10.50048828125%2c20.656326293945312C10.77663028125%2c20.656326293945312%2c11.00048828125%2c20.43246629394531%2c11.00048828125%2c20.156326293945312L11.00048828125%2c13.156326293945312C11.00048828125%2c12.880184293945312%2c10.77663028125%2c12.656326293945312%2c10.50048828125%2c12.656326293945312C10.22434628125%2c12.656326293945312%2c10.00048828125%2c12.880184293945312%2c10.00048828125%2c13.156326293945312Z' fill='%23D8D8D8' fill-opacity='1'/%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
工作流名称：AI电商产品模特替换
【工作流介绍】
这个工作流分了3个部分，第一部分通过肖像大师和WD14 Tagger反推提示词，在肖像大师这可以选择国籍，修改模特肤色。第二部分通过ControlNet对图像进行控制，然后使用SDXL模型进行文生图。第三部分用Flux模型对形象图生图优化。最后再进行叠加处理图像。目前，采样器内置参数已经完成设置，您可以直接运行。快来体验一下吧！
【使用场景】
这个工作流可以使任何人拿着产品去当模特拍摄，实现了保证商品不变的前提下，重新生成模特，省去了电商商品找模特拍摄，后期修复图像环节。
【关键节点】
instantID
【模型版本】
SDXL
模型名称:dreamshaperXl lightningDPMSDE.safetensors
FLUX
模型名称:flux1-dev-fp8-Kjai.safetensors
【LoRA模型】
无
【ControlNet应用】
control-lora-depth-rank256
开始时间：0
结束时间：1
强度：0.6
control-lora-canny-rank256
开始时间：0
结束时间：1
强度：0.5
【K采样器】
CFG：2
采样方法：dpmpp sde
调度器：karras
降噪：1
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Primitive Nodes (13) Custom Nodes (36)