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ModelZoo
MetaPortrait_pytorch
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0c9479eb
"test/git@developer.sourcefind.cn:change/sglang.git" did not exist on "2286e85e77585ac0945b4a454519152a8fa0fb30"
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0c9479eb
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Apr 15, 2025
by
chenzk
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0c9479eb
...
@@ -93,11 +93,9 @@ https://developer.hpccube.com/tool/
...
@@ -93,11 +93,9 @@ https://developer.hpccube.com/tool/
## 数据集
## 数据集
下载地址:
HDTF_warprefine
下载地址:
https://drive.google.com/file/d/166eNbabM6TeJVy7hxol2gL1kUGKHi3Do/view?usp=share_link
https://drive.google.com/file/d/166eNbabM6TeJVy7hxol2gL1kUGKHi3Do/view?usp=share_link
-
[
data
](
http://113.200.138.88:18080/aidatasets/metaportrait_base_model_data
)
```
```
base_model
base_model
data
data
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@@ -124,17 +122,6 @@ data
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@@ -124,17 +122,6 @@ data
(模型)https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
(模型)https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
数据集快速下载中心:
[
SCNet AIDatasets
](
http://113.200.138.88:18080/aidatasets
)
项目中的预训练权重可从快速下载通道下载:
-
[
GFPGANv1.3
](
http://113.200.138.88:18080/aimodels/findsource-dependency/gfpganv1.3
)
-
[
temporal_gfpgan
](
http://113.200.138.88:18080/aimodels/findsource-dependency/temporal_gfpgan
)
数据集快速下载中心:
[
SCNet AIDatasets
](
http://113.200.138.88:18080/aidatasets
)
-
[
HDTF_warprefine
](
http://113.200.138.88:18080/aidatasets/hdtf_warprefine
)
```
```
sr_model
sr_model
...
@@ -174,14 +161,6 @@ sr_model
...
@@ -174,14 +161,6 @@ sr_model
下载模型:https://drive.google.com/file/d/1Kmdv3w6N_we7W7lIt6LBzqRHwwy1dBxD/view (放入checkpoint文件夹中)
下载模型:https://drive.google.com/file/d/1Kmdv3w6N_we7W7lIt6LBzqRHwwy1dBxD/view (放入checkpoint文件夹中)
预训练权重快速下载中心:
[
SCNet AIModels
](
http://113.200.138.88:18080/aimodels
)
项目中的预训练权重可从快速下载通道下载:
-
[
MetaPortrait
](
http://113.200.138.88:18080/aimodels/metaportrait
)
cd base_model
cd base_model
CUDA_VISIBLE_DEVICES=0 python inference.py --save_dir result --config config/meta_portrait_256_eval.yaml --ckpt checkpoint/ckpt_base.pth.tar
CUDA_VISIBLE_DEVICES=0 python inference.py --save_dir result --config config/meta_portrait_256_eval.yaml --ckpt checkpoint/ckpt_base.pth.tar
...
...
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