V1.0.8 Fix Anywhere.json

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    {
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        "### 非常重要，必须阅读。\n\n- 推荐大模型： [majic V7](https://www.liblib.art/modelinfo/bced6d7ec1460ac7b923fc5bc95c4540)\n\n- 推荐 Vae：[Realistic difConsistency Negative (Pack)](https://www.liblib.art/modelinfo/232ff495f7c14381910dc6f4df78a7ab)\n\n- lora: [YFilter_PortraitEnhance recommended](https://www.liblib.art/modelinfo/ec6239d3fcdc46beb8aefbd587e291b7)\n\n- 推荐高清修复节点，如果您希望图像更加逼真，甚至包括毛孔细节，请使用此缩放节点。[Link](https://openart.ai/workflows/seven947/1minute-8k-upscale/1IPTks1gL7v0EPmvsMcx)\n\n我的节点使用 Yoloworld 来识别物体，而不仅仅是重绘脸部和头发，你可以随意组合它们。\n\n1. 如果在识别头发时识别的是整个头部，请调整 Yoloworld ESAM 中第一项的参数。\n\n2. 毕竟是自动化，请不要抱太大希望，我只能尽量照搬手工操作，后期PS在所难免。\n\n3.如果有任何不好用的，或者是建议，请你积极留言。"
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 314,
      "type": "Note",
      "pos": [
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      ],
      "size": {
        "0": 660,
        "1": 290
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        "### Very important, must read.\n\n- recommend model: [majic V7] (https://www.liblib.art/modelinfo/bced6d7ec1460ac7b923fc5bc95c4540)\n\n- recommend Vae: [Realistic difConsistency Negative (Pack)] (https://www.liblib.art/modelinfo/232ff495f7c14381910dc6f4df78a7ab)\n\n- lora: [YFilter_PortraitEnhance recommended](https://www.liblib.art/modelinfo/ec6239d3fcdc46beb8aefbd587e291b7)\n\n- The HD repair node is recommended, use this zoom node if you want the image to be more realistic, even including pore details. [Link](https://openart.ai/workflows/seven947/1minute-8k-upscale/1IPTks1gL7v0EPmvsMcx)\n\nMy node uses Yoloworld to recognize objects, not just redraw faces and hair, you can combine them however you want.\n\n1. If you recognize the entire head when identifying hair, adjust the parameters of the first item in Yoloworld ESAM.\n\n2. After all, it is automation, please don't hold too much hope, I can only try to copy manual operation, later PS is inevitable.\n\n3. If you have any problems or suggestions, please leave a positive message."
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    {
      "id": 277,
      "type": "Note",
      "pos": [
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      "size": {
        "0": 660,
        "1": 290
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      "flags": {},
      "order": 23,
      "mode": 0,
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      "widgets_values": [
        "# Update log\n\n### Version number v1.0.8\n- Fix: the previous idea was wrong, cutting through the mask can not achieve better results, but will slow down the running speed. Change mode to expand mask scope.\n- Fix: It seems that it can be fixed well in HD without tile, and tile also comes with the problem of darkening the skin.\n- Fix: Adjusted crop size and mask blur, face fix removed mask overlay.\n\n### Version number v1.0.7\n- Added: Shortcut switch to directly disable unwanted node groups.\n- Fix: After modifying the parameters, the characters will become black, but the details are more, I don't know why.\n\n### Version number v1.0.6\n- Known problem: The arm cannot be identified correctly. Unable to correctly identify the thigh.\n- Fix: The previous node could not detect the neck effectively, resulting in a neck error. The scene of the neck can be met by cropping each other between masks, and all 30 images in the test can be used normally.\n- Fix: the previous node is invalid for clothing, pants may be detected, etc., through the mask cropping can only meet the scene of detecting clothing, the test 30 pictures can be used normally.\n- Fix: Change keywords and Settings to make pants recognition more accurate.\n- Abandoned: The high-frequency and low-frequency nodes are officially abandoned.\n\n### Version number v1.0.6\n- Known problem: The arm cannot be identified correctly. Unable to correctly identify the thigh.\n- Fix: The previous node could not detect the neck effectively, resulting in a neck error, the scene of the neck can be satisfied through mutual cropping between masks, and all 30 images in the test can be used normally.\n- Fix: the previous node is invalid for clothing, pants may be detected, etc., through the mask cropping can only meet the scene of detecting clothing, the test 30 pictures can be used normally.\n- Fix: Change keywords and Settings to make pants recognition more accurate.\n- Abandoned: The high-frequency and low-frequency nodes are officially abandoned.\n\n### Version v1.0.5\n- Fix: Appears to fix blackening of face.\n- Fix: High and low frequency modules do not seem to be required, so images can be obtained in one step.\n- Bug: I was wrong, should not use component transfer, it will reduce the image quality.\n\n### Version number v1.0.4\n- Known issue: The face darkens as the amplitude and facial details of the redraw increase.\n- Fix: The third node is incorrectly connected.\n- New: Added an image node type to avoid the need to restart the presentation due to errors in subsequent steps.\n- Added: Multi-person judgment: multiple people false, single people true.\n- New: High frequency and low frequency facial repair nodes. If you're too lazy to adjust Sharpen's parameters, you can put two images in Photoshop and erase them with a mask.\n\n### Version v1.0.2\n- Fix bug: Image transfer is not done in sequence, but all at once.\n\n### Version v1.0.1\n- Modify the facial parameters to make the face less like a mask.\n\nAuthor Home Page:\n[liblib](https://www.liblib.art/userpage/c0e1c819d36c4bce9b077e04f9eaf693/publish/image)\n[civitai](https://civitai.com/user/1637083533489)\n\"Little red book] (https://www.xiaohongshu.com/user/profile/5fc2948e0000000001000b4e?xhsshare=CopyLink&appuid=5fc2948e0000000001000b4 e&apptime=1714843011)\n[trill] (https://v.douyin.com/i2ky4oxf/ 4 @4.com: 3 PM)\n[openart](https://openart.ai/workflows/profile/flamingo_sudden_15? tab=workflows&sort=latest)\n\nPlease follow the open source protocol, allow redistribution but please credit the author, and do not sell."
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        "# 更新日志\n\n### 版本号 v1.0.8\n- 修复：之前思路错了，通过蒙版裁切并不能取得更好的效果，反而会拖慢运行速度。更改方式改为扩大蒙版范围。\n- 修复：似乎不需要tile也能很好的高清修复，并且tile还会伴随着皮肤变黑的问题。\n- 修复：调整了裁剪尺寸以及蒙版模糊，面部修复去除蒙版叠加。\n\n### 版本号 v1.0.7\n- 新增：快捷开关，直接关闭不需要的节点组。\n- 修复：修改参数后，字符会变黑，但细节更多了，不知道为什么。\n\n### 版本号 v1.0.6\n- 已知问题：无法正确识别手臂。无法正确识别大腿。\n- 修复：之前的节点无法有效检测到颈部，导致颈部错误。通过蒙版之间的相互裁剪可以满足颈部的场景，并且测试中的所有30张图像都可以正常使用。\n- 修复：之前的节点对服装无效，可能会检测到裤子等，通过蒙版裁剪只能满足检测服装的场景，测试30张图片可以正常使用。\n- 修复：更改关键字和设置，使裤子识别更准确。\n- 废弃：高频和低频节点正式废弃。\n\n### 版本号 v1.0.6\n- 已知问题：无法正确识别手臂。无法正确识别大腿。\n- 修复：之前的节点无法有效检测到颈部，导致颈部错误，通过蒙版之间的相互裁剪可以满足颈部的场景，测试中的所有30张图像都可以正常使用。\n- 修复：之前的节点对服装无效，可能会检测到裤子等，通过蒙版裁剪只能满足检测服装的场景，测试30张图片可以正常使用。\n- 修复：更改关键字和设置，使裤子识别更准确。\n- 废弃：高频和低频节点正式废弃。\n\n### 版本 v1.0.5\n- 修复：似乎修复了脸变黑的问题。\n- 修复：高频和低频模块似乎不是必需的，因此可以一步获得图像。\n- Bug：我错了，不应该使用组件传输，它会降低图像质量。\n\n### 版本号 v1.0.4\n- 已知问题：随着重绘的振幅和面部细节增加，脸部会变暗。\n- 修复：第三个节点连接错误。\n- 新增：添加了一种图像节点类型，避免由于后续步骤中的错误而需要重新启动演示。\n- 新增：多人判断：多个人为假，单个人为真。\n- 新增：高频和低频面部修复节点。如果你懒得调整过Sharpen的参数，可以在PS中放两张图像，并使用蒙版擦除。\n\n### 版本号 v1.0.2\n- 修复bug：图像传输没有按顺序进行，而是一次性全部进行。\n\n### 版本号 v1.0.1\n- 修改面部参数，使面部更不像假面。\n\n作者主页：\n[liblib](https://www.liblib.art/userpage/c0e1c819d36c4bce9b077e04f9eaf693/publish/image)\n[civitai](https://civitai.com/user/1637083533489)\n[小红书](https://www.xiaohongshu.com/user/profile/5fc2948e0000000001000b4e?xhsshare=CopyLink&appuid=5fc2948e0000000001000b4e&apptime=1714843011)\n[抖音](https://v.douyin.com/i2ky4oxf/ 4@4.com :3pm)\n[openart](https://openart.ai/workflows/profile/flamingo_sudden_15?tab=workflows&sort=latest)\n\n请遵循开源协议，允许转发但请注明作者，并且禁止售卖。"
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