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国外论坛免费共享的预训练模型

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隐世金马甲勋章超级版主勋章可爱萌新勋章见习版主勋章荣誉会员勋章男同管理员-无尚荣耀勋章优质版主勋章小有贡献勋章
发表于 2020-11-7 19:08:51 | 显示全部楼层 |阅读模式
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 平均分:NAN  参与人数:0  我的评分:未评
为避免大家被国内二手商坑，特转载国外免费模型
下载链接多为mega盘，国内无法访问，有需求在本帖下留言，我有空的话转存到百度盘

格式比较乱，见谅

用正常数据训练的模型SFW Model

Full Face


LIAE- res: 128, dims: 128/80/48/16, 1.000.000 iterations, Full face (SFW - old pretrain dataset)


LIAE-UD- res: 192, dims: 256/64/64/22, 1.000.000 iterations, Full face (SFW - old pretrain dataset)



DF-UD- res: 128, dims 256/64/64/22, 500.000 iterations, Full face (SFW - FFHQ pretrain dataset)


DF-UD- res: 160, dims 256/64/64/22, 500.000 iterations, Full face (SFW - FFHQ pretrain dataset)


LIAE - res: 160, dims: 256/64/64/22, 1.000.000 iterations, Full face (SFW - old pretrain dataset)


DF-UD- res: 192, dims 256/64/64/22, 637.000 iterations, Full face (SFW - FFHQ pretrain dataset)


LIAE-UD- res: 192, dims: 256/64/64/22, 500.001 iterations, Full face (SFW - FFHQ pretrain dataset)



LIAE- res: 224, dims: 256/64/64/22, 322.144 iterations, Full face (SFW - old pretrain dataset)


LIAE- res: 192, dims: 192/64/64/22, 616.730 iterations, Full face (SFW - old pretrain dataset)


DF-UD- res: 224, dims: 256/64/64/16, 1.030.808iterations, Full face (SFW - old pretrain dataset)



LIAE- res: 256, dims: 256/64/64/22, 1.000.001 iterations, Full face (SFW - old pretrain dataset)

LIAE-UD- res: 256, dims: 256/64/64/22, 1.000.151 iterations, Full face (SFW - old pretrain dataset)


DF-UD- res: 256, dims: 256/64/64/22, 400.000 iterations, Full face (SFW - old pretrain dataset)


Whole Face:


DF
- res: 128, dims: 256/64/64/22, 503.304 iterations, Whole face
(SFW - old pretrain dataset)



@

LIAE
- res: 128, dims:
128/64/64/22,
1.021.612 iterations, Whole face
(SFW - google pretrain dataset)




@

DF
- res: 224, dims 128/32/32/22, 101.000 iterations, Whole face
(SFW - old pretrain dataset)



@

LIAE-U
- res: 224
, dims: 256/80/80/22, 722.000 iterations,
W
hole face
(SFW -
o
ld
pre
train dataset
)


LIAE-UD
- res: 224, dims: 256/64/64/16, 1.000.000 iterations, Whole face
(SFW -
o
ld
pre
train dataset
)



@

DF-U
- res: 224, dims: 256/64/64/22, 412.000 iterations, Whole face
(SFW - FFHQ pretrain dataset)


DF-UD
- res: 384, dims: 256/64/64/22, 1.200.000 iterations,
Whole face
(SFW -
FFHQ p
retrain dataset
)


DF-UD
- res: 320, dims: 320/96/96/32, 560.000 iterations,
Whole face
(SFW - FFHQ pretrain dataset)



@

DF-UD
- res: 224, dims: 320/96/96/22, 428.817 iterations, Whole face
(SFW - FFHQ pretrain dataset)


DF-UD
- res: 256, dims: 292/92/92/16, 750.000 iterations, Whole face
(SFW - FFHQ pretrain dataset)



@

DF
- res 288, dims: 384/92/72/22, 1.000.000 iterations, Whole face
(SFW - old pretrain dataset)



@

DF
- res: 320, dims: 384/92/72/22, 419.891 iterations, Whole face
(SFW - old pretrain dataset)



@

DF-UD
- res: 320, dims: 256/64/64/22, 303.693 iterations, Whole Face (SFW - old pretrain dataset)


DF-UD
- res: 320, dims: 256/64/64/22, 1.000.000 iterations, Whole Face
(SFW - old pretrain dataset 250k + FFHQ set 850k)



@

DF-UD
- res: 256,
dims: 320/96/96/22, 300.000 iterations, Whole face (SFW - old pretrain dataset)




DF-UD - res: 160, dims: 320/80/80/32, 875.000 iterations, Whole face (SFW - FFHQ Female Only)
https://drive.google.com/file/d/113QfJzj...YKrbk/view

DF-UD - res: 192, dims: 256/64/64/22, 609.000 iterations, Whole face (SFW - FFHQ Female Only)


DF-UD
- res: 192, dims: 288/80/64/22, 546.000 iterations, Whole face
(SFW - FFHQ Female Only)


DF-UD - res: 224, dims: 256/64/64/22, 510.000 iterations, Whole face (SFW - FFHQ Female Only)


DF-UD - res: 224, dims: 256/64/64/22, 517.000 iterations, Whole face (SFW - FFHQ pretrain dataset)
https://drive.google.com/file/d/1mPgy72XfSo5fpMNDagJpYKltqBRqxdYO/view



DF-UD - res: 256, dims: 256/64/64/22, 1.000.000 iterations, Whole face (SFW - FFHQ pretrain dataset)



@

DF-UD
- res: 512, dims: 256/64/80/22, 500.000 iterations, Whole face
(SFW - FFHQ pretrain dataset + XSeg)



Head:


NOTE: If you're pretraining a HEAD model consider using your custom pretrain set as the included FFHQ dataset is WF (whole face) only so it doesn't cover the whole head area needed to properly train HEAD face_type models. Old pretrain dataset is also not suitable as it's only FF (full face).


@

DF-UD
- res: 320, dims: 256/64/80/32, 1.000.000 iterations, Head
(SFW -
o
ld
pre
train dataset
)



@

DF-UD
- res: 448, dims: 256/64/64/16, 1.000.817 iterations, Head
(SFW - FFHQ
pre
train dataset
)




DF-UD - res: 224, dims: 256/64/64/22, 660.000 iterations, Head (SFW - FFHQ Female Only)






NSFW（用了有颜色数据训练的模型）models:


These are the models that are either pretrained using an
alternative dataset (such as one that focuses on one race, gender
or
contains NSFW samples from porn)
as well as
models that were prepared by training model on dataset of random faces with pretrainining disabled (regular training).

__________________________________________________


Half Face:


@

DF
- res: 192, dims: 256/64/64/22, 484.000 iterations, Half face
(
NSFW dataset - regular training -
women only)



Mid-Half Face:


@

DF
- res: 192, dims: 256/64/64/22, 241.307 iterations, Mid-half face
(
NSFW datas
et - regular training
-
women only)



Full Face:


@

DF
- res: 128, dims: 256/64/64/16, 129.388 iterations, Full face
(NSFW dataset - regular training - women only)



Fappenberg model reuploads:

DF
- res: 192, dims: 256/64/64/22, 300.000 iterations, Full face
(Pretrain 50k
+ NSFW dataset 250k regular training - women only)


LIAE-U
-
res: 192, dims:
256/64/64/22 dims, 150.
000 iterations, Full face
(100K pretrain
+ 50K custom female pretrain)



@

DF-U
- res: 192, dims: 256/64/64/22, 899.021 iterations, Full face
(Pretrain with
custo
m SFW dataset -
women only)



@

DF
- res: 160, dims: 256/64/64/22, 235.000 iterations, Full face
(custom SFW dataset - women/men)


LIAE
- res: 160, dims: 264/72/72/24, 244.000 iterations, Full face
(
custo
m SFW dataset -
women/men)



@

DF-U
- res: 192, dims: 256/64/64/22, 200.000 iterations, Full face
(
NSFW dataset- Pretrain with women only)


DF-U
-
res:
256, dims: 256/64/64/22,
285.000 iterations, Full face
(NSFW dataset - Pretrain with women only)


DF-UD
-res: 256, dims: 352/88/88/28, 250.000 iterations, Full face (NSFW dataset - Pretrain with women only)


DF-UD
-res: 256
, dims: 352/88/88/28, 698.000 iterations, Full face
(NSFW dataset - regular training - women only)


DF-UD -res: 320, dims: 360/90/90/22, 260.000 iterations, Full face (NSFW dataset - Pretrain with women only)



@

LIAE-U
- res: 192, dims: 256/64/64/22, 400.508 iterations, Full face
(NSFW dataset - Pretrain with women only)



Whole Face:

@

DF-U
- res: 288, dims: 256/64/64/22, 300.000 iterations, Whole face
(NSFW dataset - Pretrain with women only)



Head:


NOTE: If you're pretraining a HEAD model consider using your custom pretrain set as the included FFHQ dataset is WF (whole face) only so it doesn't cover the whole head area needed to properly train HEAD face_type models. Old pretrain dataset is also not suitable as it's only FF (full face).

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minix007

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发表于 2020-12-18 19:48:57 | 显示全部楼层
head 预训练模型试过其中两个，实验对比了相同源和目标，相同训练时间(39小时)， @lostkinetik 那个 448 分辨率 ，迭代 1000k 的模型，相同训练时间比@aymanalz 那个 224 分辨率迭代 660k 的模型生成的人脸要更清晰，表情更自然。

iperov 的预训练 head 模型在 mega 上，没法访问，如果有尝试过的，可以分享下结果。
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dfl

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发表于 2020-11-17 18:52:44 | 显示全部楼层
suhgnksg 发表于 2020-11-16 08:44
简单说，提醒是换脸不是换头……

model题目写的head，这不是坑人吗，害我训练了一天，合成发现还是f脸，
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dfl

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发表于 2020-11-8 23:23:09 | 显示全部楼层
不知道怎么选择下载哪个模型啊，希望出个教程，要不然不知道能不能运行
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1404200514

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发表于 2020-11-8 08:44:26 | 显示全部楼层
这些模型和遮罩能出一个使用教程吗，有些懵逼，不晓得咋用
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mango1

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发表于 2020-11-8 16:43:13 | 显示全部楼层
都是好东西啊，感谢分享
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cyjcyj

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万事如意节日勋章
发表于 2020-11-8 17:34:08 | 显示全部楼层
会不会都是用外国人的脸练的
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lflbl2007

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发表于 2020-11-8 17:40:06 | 显示全部楼层
感谢分享
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cyjcyj

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万事如意节日勋章
发表于 2020-11-8 17:42:58 | 显示全部楼层
确认了，有的要梯子，对浏览器也有要求，正在下载中，谢谢分享！！
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万事如意节日勋章
发表于 2020-11-8 18:00:23 | 显示全部楼层
Mondomonger的好像已经失效
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cdc120

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发表于 2020-11-8 19:30:38 | 显示全部楼层
感谢老大无私分享
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cyjcyj

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万事如意节日勋章
发表于 2020-11-8 21:09:37 | 显示全部楼层
刚才试用了个192，威水哦，比用钱买的好多了，兄弟们赶紧下载使用吧
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