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国风3 GuoFeng3 - AIGC数据库
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国风3 GuoFeng3

参数名 参数值
Clip skip 2
Denoising strength 0.5
Hires steps 16
Hires upscale 1.5
Hires upscaler Latent
Model GuoFeng3.4
Model hash a83e25fe5b
Size 640×1024
Version v1.4.0
cfgScale 7
hashes {“model”:”a83e25fe5b”}
negativePrompt (((simple background))),monochrome,lowres,bad anatomy,bad hands,text,error,missing fingers,extra digit,fewer digits,cropped,worst quality,low quality,normal quality,jpeg artifacts,signature,watermark,username,blurry,lowres,bad anatomy,bad hands,text,error,extra digit,fewer digits,cropped,worst quality,low quality,normal quality,jpeg artifacts,signature,watermark,username,blurry,ugly,pregnant,vore,duplicate,morbid,mut ilated,tran nsexual,hermaphrodite,long neck,mutated hands,poorly drawn hands,poorly drawn face,mutation,deformed,blurry,bad anatomy,bad proportions,malformed limbs,extra limbs,cloned face,disfigured,gross proportions,(((missing arms))),(((missing legs))),(((extra arms))),(((extra legs))),pubic hair,plump,bad legs,error legs,username,blurry,bad feet,
prompt best quality,masterpiece,highres,1girl,blush,(seductive smile:0.8),star-shaped pupils,red china hanfu,hanfu,chinese clothes,hair ornament,necklace,jewelry,Beautiful face,upon_body,tyndall effect,photorealistic,dark studio,rim lighting,two tone lighting,(high detailed skin:1.2),8k uhd,dslr,soft lighting,high quality,volumetric lighting,candid,Photograph,high resolution,4k,8k,Bokeh,
resources [{“hash”:”a83e25fe5b”,”name”:”GuoFeng3.4″,”type”:”model”}]
sampler DPM++ 2M SDE Karras
seed 166250247
steps 30

郑重声明:此模型禁止利用明星、公众人物肖像训练,以防引发争议,对AI社区造成负面影响。

本模型无使用真人素材。

推荐真实版国风,具体网址仅提供参考。

基于SDXL1.0训练的国风4版本

国风2、3等各小版本之间独立,画风、关键词、内容有区别,依效果图或模型介绍下载。

国风2与3代的区别在于训练质量不同,如素材分辨率、训练设置消耗的显存量,有时素材量也是因素。

更新历史:

2023.6.29 增加v3.4版本

2023.4.05 增加v3.3版本

2023.3.02 增加v3.2_light版本

2023.2.27 增加safetensors格式

模型介绍:

国风3模型为华丽古风风格模型,也可以视为2.5D质感的古风游戏角色模型。版本3.4进行新训练,全身图适配,内容与前版本大有不同,调整整体画风,降低过拟合程度,加多Lora对画面与内容调整。

建议设置:

采样步骤:30或50

采样器:DPM++ SDE Karras

VAE:vae-ft-mse-840000

关键词:高品质、精品、高清、美女、中国服装、美丽面容

负面词:不适当内容、低分辨率、身体比例错误、糟糕的手部绘制、文本、错误、缺少手指、多余手指、图片裁剪、最差质地、低质量、普通质量、JPEG伪影、签名、水印、用户名、模糊、糟糕的脚等

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