[PVC Style Model]Movable figure model – SD 1.5 – v2.0(No vae)

欢迎使用Movable figure modelv2.0本模型是PVC材质,模型,手办,风格,的特化风格模型 v2.0版本  这个版本是不同于1.0版本的 2.0版本是使用ChilloutMix和NAI进行MBW后的模型作为基底使用1.0版本素材进行制作的2.0版吸取了1.0的经验进行优化

  • Welcome to Movable figure modelv2.0 This model is PVC material, model, hand, style, This version is different from the 1.0 version. The 2.0 version uses ChilloutMix and NAI MBW models as the base. The 2.0 version uses the 1.0 version material for production. The 2.0 version learns the 1.0 experience to optimize

模型默认内置vae-ft-mse-840000-ema-pruned有不喜欢这个VAE色调的我在下载链接下方提供了无VAE版本有喜欢别的VAE的可以自己行下载无VAE版本使用

  • vae- FT-MSE-84000-EMA-Pruned is built into the model by default. For those who do not like this VAE hue, I provide the VAE free version under the download link. For those who like other VAE, they can download the VAE free version by themselves

模型应用场景 Model application scenario

1.可以使用本模型可以搭配2d,2.5d,3d,风格lora直出PVC材质风格的 人物,物品 (这个和其他模型使用方法一致)

  • This model can be used with 2d, 2.5d, 3d, and style lora straight PVC material style characters and objects (this is the same as other models)

2.特定场景风格转换

本模型可以转换2d,2.5d,3d,的图片转换成PVC材质风格 这个可以应用于特定风格品牌设计及产品设计视觉设计的图片转换PVC材质画风

  • Style conversion of specific scenes

    This model can convert 2d, 2.5d, 3d pictures into PVC material style. This model can be applied to the pictures of specific style brand design and product design visual design to convert PVC material painting style

推荐参数(Recommended parameter)

采样方法(Sampler):

Euler :20~30步

Euler a: 20~30步

Restart:15~20步

DDIM:30步及以上

提示词引导系数(CFG Scale):3-7

人像人物分辨率(Character resolution):512×768, 768×768,512×1024

高清修复(Hires.fix)

放大算法(Amplification algorithm):R-ESRGAN 4x+Anime6b ,4x-UltraSharp,4x_SmolFace_200k

高分迭代步数(High number of iteration steps):10~15

重绘幅度(Redraw amplitude):0.3~ 0.5

Clip Skip:2。

负面提示推荐(Negative):(low quality, worst quality:1.4),(bad anatomy),(inaccurate limb:1.2),bad composition,inaccurate eyes,extra digit,fewer digits,(extra arms:1.2),(watermark,text,logo,username,multiple moles,mole on body,:1.2),

以下是特定场景垫图转换图片方法

  • Here is how to convert images from scene to scene

把需要转换风格的图片放到ControlNet插件第1页例如

  • Put the image you want to change style on page 1 of the ControlNet plugin for example

第一步例如这个人物这个人物是别的模型制作的图我没有我没有这个人物的lora模型只通过图片转换为手办风格我们将这个图片放到ControlNet插件第一页也就unit0选择深度图

  • The first step is for example this figure this figure is a drawing made by another model I don’t have I don’t have a lora model of this figure just by converting the image to hand-style we put this image on the first page of the ControlNet plugin which is unit0 select the depth map

web/image/3736d4fb3e2d3ad2468f775099022ec21c518da84d5b2982ec64eb19e87428f4.png

然后把完美像素勾选上点击爆炸图标然后运行

  • Then check the Perfect Pixel and click on the explosion icon and run

第二步分为两种我先讲第一个我上图这个图片为SD直出图的原图

  • The second step is divided into two types and I’ll talk about the first one which is the original image of the SD straight map

web/image/398fdee90993cd968b63a91da4a54ec1e5a3bec0e3e92fde604d0ba6e9122598.png

有原图的情况下只需要把图片放到PNG信息提取提取图片提示词只需要提取正面提示词

  • If there is an original image, you only need to put the image into PNG information extraction and extract the image prompt words

web/image/b0138d0b4e959fc6dc013f57c8eb851bdc1c0c01cc8d6d2a1ccdc6d15e74b71f.png

咱们只需要画框的那一个区域之后把提取后的提示放入文生图中

  • We just need that one area of the frame and put the extracted tips into the Vincennes diagram

web/image/ff44abf0759d001ef2b0432d1fa02c985b4573e51e8b62047fe7fa9c09c71534.png

Lora去掉因为这个lora咱们没有 有他没他都一样建议删掉之后点击生成

  • Lora remove because this lora we do not have him or not he is the same suggest delete and click Generate

web/image/36357001909fd57956044a8f841cca8dce03261a996d912a4c38d68b6591b14c.png

然后第二个方法和前一个方法类似就是图片不是SD直出没有保留图片信息的模型则是把图放到图生图内例如我找了一个图他图片有就没有tag咱们把图片放到图生图后

  • And then the second method is similar to the first one which is that the image is not SD straight out and the model that doesn’t keep the image information is to put the image inside the graph generation diagram for example if I find a graph that has an image without a tag let’s put the image behind the graph generation diagram

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点击DeepBooru 反推会得到返推的tag然后复制提取tag到文生图

  • Click on DeepBooru to reverse push and you’ll get the backpushed tag and then copy and extract the tag into the Vincennes diagram

web/image/d5c83cedd69add3464518facf2351f9837140c9d59a2e7efec91d4bcff1da2f5.png

然后重复先前的步骤我们将这个图片放到ControlNet插件第一页也就unit0选择深度图

  • Then repeat the previous steps we put this image on the first page of the ControlNet plugin which is called unit0 to select the depth map

web/image/5ffa9e2e04a743a46ebae88d9792a83800467a40753a4b9f05b20f1720ffe5ba.png

然后把完美像素勾选上点击爆炸图标然后运行等深度图出来后在点击生图下面是效果

  • Then click on the Perfect Pixel and click on the explosion icon and run the depth map and then click on the raw image below to see the effect

web/image/5f0de108f50fc3dc8cbee4b3b8ae5904f050c4880db69cafba71296f4b59f107.png

大部分场景只需要用到ControlNet深度图 部分场景假如特意要还原某个细节则可以在ControlNetunit1,unit2,额外添加其他插件例如Canny (硬边缘),Lineart (线稿),SoftEdge (软边缘)之类的来辅助出图效果

  • Most scenarios only need the ControlNet depth map. In some scenarios, if you want to restore some details, you can add other plug-ins in ControlNetunit1, unit2, such as Canny (hard edge), Lineart (line draft), etc. SoftEdge (soft edge) and the like to assist the image effect

我发一下我个人垫图用的ControlNet插件参数

  • I am sending the parameters of the ControlNet plugin for my personal map

eda63888 e13f 46d4 b9c3 53270e499e61 Stable Diffusion Image Generator for Professionals and Enthusiasts [PVC Style Model]Movable figure model - SD 1.5 - v2.0(No vae)

f9b8c15f d990 45f4 9c7a 32d3969f6117 Stable Diffusion Image Generator for Professionals and Enthusiasts [PVC Style Model]Movable figure model - SD 1.5 - v2.0(No vae)

f7c9cbf4 b4c6 424a b265 c38b11509791 Stable Diffusion Image Generator for Professionals and Enthusiasts [PVC Style Model]Movable figure model - SD 1.5 - v2.0(No vae)

我垫使用的prompt

  • I pad use prompt

(masterpiece, best quality, unity 8k wallpaper, highres, absurdres, background)

中间加入反推的prompt

  • Add a push-back prompt in the middle

(NSFW:0.8),

Ai技术交流QQ群:377209248

图像源和训练代码来自互联网,模型仅用于科研兴趣交流。如有侵权,请联系删除,谢谢。

The image source and training code are from the Internet, and the model is only used for scientific interest exchange. If there is infringement, please contact to delete, thank you.——————————————————————————————

v1.0使用建议( v1.0 Recommendations of use):

建议用其他 lora 搭配这个模型使用的时候 lora权重建议在0.8左右 如果人物还没有PVC材质就把lora的权重在低一点

It is suggested that the weight of lora should be around 0.8 when using other LORAs with this model If the character does not have PVC material, put the weight of lora lower

建议起手提示词(Suggest a hand)

best quality,masterpiece,realistic,HDR,UHD,8K,best quality,masterpiece,Highly detailed,ultra-fine painting,physically-based rendering,extreme detail description,Professional,1girl,

如果画面输出比较糊 建议使用Ultimate SD upscale 放大进行放大

If the output is not very good, it is recommended to use Ultimate SD upscale amplification

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推荐的参数(Recommended parameters):

采样方法(Sampler:):

Euler a: 20~30步。

DPM++ 2S a Karras25~30步。

DPM++ SDE Karras:20~30步。

DPM++ 2M SDE Karras:20~40步。

提示词引导系数(CFG Scale):7

人像人物分辨率(Character resolution):512×768, 768×768,512×1024

高清修复(Hires.fix)

放大算法:R-ESRGAN 4x+Anime6b ,4x-UltraSharp,4x_SmolFace_200k

高分迭代步数:10~15

重绘幅度:0.3~ 0.5

Clip Skip:2。

负面(Negatives): (worst quality, low quality:2),monochrome, zombie, (interlocked fingers:1.2),

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Ai技术交流QQ群:377209248

图像源和训练代码来自互联网,模型仅用于科研兴趣交流。如有侵权,请联系删除,谢谢。

The image source and training code are from the Internet, and the model is only used for scientific interest exchange. If there is infringement, please contact to delete, thank you.

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Details
Model TypeCHECKPOINT
Base ModelSD 1.5
Model Hash32DA884C50
Model Versionv2.0(No vae)
Trained Words
Picture of edward.cui

edward.cui