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TencentARC/GFPGAN 3419

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

TencentARC/TransFusion 3

The code repo for the ACM MM paper: TransFusion: Multi-Modal Fusion for Video Tag Inference viaTranslation-based Knowledge Embedding.

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issue closedTencentARC/GFPGAN

About training with 8 gpus

Hi xintao, thanks for sharing your great work. I currently trying to train GFPGAN with 8 gpus, which means the total batchsize will be double. Should I modified some hyperparameter in the train_gfpgan_v1.yml? Such as the learning rate and the totoal step, etc. Thanks again, have a nice day~.

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NNNNAI

issue commentTencentARC/GFPGAN

About training with 8 gpus

Thanks for your help! Have a great day ~

NNNNAI

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issue commentTencentARC/GFPGAN

Is this possible, to improve?

@zelenooki87 Thanks:-)

So many family photos. You have a warm and loving family 😃

zelenooki87

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issue commentTencentARC/GFPGAN

ImportError: No module named 'deform_conv'

@ntquyen11 What env do you use? and you may need to put more information/error log here

EndeCC0

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issue commentTencentARC/GFPGAN

How to get original size? (no upscale)

--upscale 1 should be work 😄

I will close this issue. If you still have any questions, please re-open it. Thanks~

AlonDan

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issue commentTencentARC/GFPGAN

Have the same question as "Training with clean version #61"

It will take more time to add the detailed training process for GFPGAN-clean and all those pre-trained models.

Maybe in November. Thanks

linkboyx

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pull request commentTencentARC/GFPGAN

Add Docker environment & web demo

@CJWBW Thanks for your work 😄

I wonder that could Replicate use another branch instead of the master branch?

As it will introduce some files (like download-weights, predict.py and run_setup.sh). These files are specifically for running on Replicate, and users may confuse with those files when they run on their local machines.

A better solution is to use another branch (for example replicate), and in that branch, we add those files and then ‘deploy’ on the replicate website.

CJWBW

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issue commentTencentARC/GFPGAN

About training with 8 gpus

  1. I have also trained with 8 GPUs without modifying the hyper-parameters. The results are Ok with fewer iterations. But it may be not the optimal~
NNNNAI

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fork codejq/GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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fork i-amgeek/GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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fork orcunsimsek/GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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fork nojuskybartas/GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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PR opened TencentARC/GFPGAN

Add Docker environment & web demo

Hey @xinntao ! 👋

This pull request makes it possible to run your model inside a Docker environment, which makes it easier for other people to run it. We're using an open source tool called Cog to make this process easier.

This also means we can make a web page where other people can try out your model! View it here: https://replicate.ai/xinntao/gfpgan (We noticed that you have a demo on Gradio, but some of the example images, e.g. 10045.png, would show error there).

Claim your page here so you can edit it, and we'll feature it on our website and tweet about it too.

In case you're wondering who I am, I'm from Replicate, where we're trying to make machine learning reproducible. We got frustrated that we couldn't run all the really interesting ML work being done. So, we're going round implementing models we like. 😊

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