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'%3e%3cpath d='M22.941142499999998%2c18.4907265625C20.7973025%2c21.2337465625%2c18.653602499999998%2c23.9764965625%2c16.5096155%2c26.719196562500002C15.7464715%2c27.6958965625%2c16.4596735%2c29.1035265625%2c17.7179125%2c29.1035265625L30.5804125%2c29.1035265625C31.8385125%2c29.1035265625%2c32.5519125%2c27.6958965625%2c31.7883125%2c26.719196562500002C29.6448125%2c23.9764965625%2c27.500812500000002%2c21.2337965625%2c25.3570725%2c18.4907265625C24.7489725%2c17.7127265625%2c23.5494225%2c17.7127265625%2c22.941142499999998%2c18.4907265625ZM24.0441925%2c19.3528665625L24.0440425%2c19.3530465625L19.6246325%2c25.0074065625L17.6126225%2c27.5813865625Q17.5882425%2c27.6125865625%2c17.6045625%2c27.6447765625Q17.6343025%2c27.7034865625%2c17.7179125%2c27.7034865625L30.5804125%2c27.7034865625Q30.663912500000002%2c27.7034865625%2c30.6937125%2c27.6448265625Q30.7099125%2c27.6128265625%2c30.685412499999998%2c27.5814965625L24.254022499999998%2c19.3528565625Q24.2183525%2c19.3072265625%2c24.149182500000002%2c19.3072265625Q24.0800125%2c19.3072265625%2c24.0441925%2c19.3528665625Z' fill-rule='evenodd' fill='%23BEC4CA' fill-opacity='1'/%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
【工作流介绍】
这是一款可根据上传的人像生成大唐公主风格盲盒的工作流，通过输入一张照片，首先随机抽取一张姿态图片，再通过controlnet功能固定身体部位，通过ip-adapter使盲盒的人脸更像上传的图片，最后通过图生图生成更高质量的最终图像。我们已经设置好内置参数，现在只需上传一张图片，即可定制专属于你的盲盒，快来尝试吧！
【使用场景】
这个工作流程的好处在于其简单易用性和艺术化处理能力。通过上传图片即可自己定制盲盒，省去复杂的步骤，可以利用这个工具制作盲盒周边，增加娱乐性和创意性，提高效率。
【关键节点】
Controlnet、InstantID
【模型版本】
SDXL
模型名称:WildCardX-XL-ANIMATON.safetensors
【LoRA模型】
无
【Controlnet应用】
controlnet-depth-sdxl-1.0-xinsir.safetensors
开始时间：0.000
结束时间：0.617
强度：0.55
controlnet-canny-sdx1-1.0-v2-xinsir.safetensors
开始时间：0.000
结束时间：0.815
强度：0.85
【采样器】
采样方法：dpmpp_2m
调度器：simple
降噪：0.52
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【工作流介绍】
这是一款可根据上传的人像生成大唐公主风格盲盒的工作流，通过输入一张照片，首先随机抽取一张姿态图片，再通过controlnet功能固定身体部位，通过ip-adapter使盲盒的人脸更像上传的图片，最后通过图生图生成更高质量的最终图像。我们已经设置好内置参数，现在只需上传一张图片，即可定制专属于你的盲盒，快来尝试吧！
【使用场景】
这个工作流程的好处在于其简单易用性和艺术化处理能力。通过上传图片即可自己定制盲盒，省去复杂的步骤，可以利用这个工具制作盲盒周边，增加娱乐性和创意性，提高效率。
【关键节点】
Controlnet、InstantID
【模型版本】
SDXL
模型名称:WildCardX-XL-ANIMATON.safetensors
【LoRA模型】
无
【Controlnet应用】
controlnet-depth-sdxl-1.0-xinsir.safetensors
开始时间：0.000
结束时间：0.617
强度：0.55
controlnet-canny-sdx1-1.0-v2-xinsir.safetensors
开始时间：0.000
结束时间：0.815
强度：0.85
【采样器】
采样方法：dpmpp_2m
调度器：simple
降噪：0.52
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Primitive Nodes (12) Custom Nodes (37)