Viewer-Mix V1.7 - Viewer-Mix V1.0
by ModelsLabv1.7
该模型的制作借鉴了AOM3的合并方法。
并同步更新了针对此版本的负面嵌入,veryBadImageNegative_v1.3。
The production of this model draws on the merging method of AOM3.
And synchronously updated negative embeddings for this version,veryBadImageNegative_v1.3.
v1.3
改动:
1、 将vae文件烘焙进去了。
2、调整了原料的比例重新进行混合,优化了色调和氛围,使其看起来整体光影效果更具戏剧性。
3、训练了一个名为veryBadImageNegative的负面嵌入,所有的例子均使用了这个负面嵌入。
Changes:
1. Baked the vae file.
2. After adjusting the weight, re-mixing is performed to optimize the tone and atmosphere, making the overall light and shadow effect more dramatic.
3. A negative embedding called veryBadImageNegative is trained, and all examples use this negative embedding.
v1.0
该模型可以生成高质量的动漫风格壁纸、动漫风格角色、自然风景插图。
推荐使用pastel-waifu-diffusion.vae.pt,所有例子都是使用这个vae生成的。
this model can generate high-quality anime style wallpaper, anime style characters, and natural scenery illustrations.
pastel-waifu-diffusion.vae.pt is recommended, all examples are generated using this vae.
viewermixv17-viewermixv10Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
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Viewer-Mix V1.7 - Viewer-Mix V1.0 Readme
v1.7
该模型的制作借鉴了AOM3的合并方法。
并同步更新了针对此版本的负面嵌入,veryBadImageNegative_v1.3。
The production of this model draws on the merging method of AOM3.
And synchronously updated negative embeddings for this version,veryBadImageNegative_v1.3.
v1.3
改动:
1、 将vae文件烘焙进去了。
2、调整了原料的比例重新进行混合,优化了色调和氛围,使其看起来整体光影效果更具戏剧性。
3、训练了一个名为veryBadImageNegative的负面嵌入,所有的例子均使用了这个负面嵌入。
Changes:
1. Baked the vae file.
2. After adjusting the weight, re-mixing is performed to optimize the tone and atmosphere, making the overall light and shadow effect more dramatic.
3. A negative embedding called veryBadImageNegative is trained, and all examples use this negative embedding.
v1.0
该模型可以生成高质量的动漫风格壁纸、动漫风格角色、自然风景插图。
推荐使用pastel-waifu-diffusion.vae.pt,所有例子都是使用这个vae生成的。
this model can generate high-quality anime style wallpaper, anime style characters, and natural scenery illustrations.
pastel-waifu-diffusion.vae.pt is recommended, all examples are generated using this vae.








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