GFPGAN
tensorflow
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GFPGAN | tensorflow | |
---|---|---|
93 | 221 | |
34,465 | 182,173 | |
1.0% | 0.6% | |
0.0 | 10.0 | |
15 days ago | 6 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GFPGAN
- Ask HN: What is the state of the art in AI photo enhancement?
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Open source software has gotten a lot better at having smooth swaps. Below is what i got.
Mainly as the base model. https://insightface.ai/ There was some post processing done to further improve quality. https://github.com/TencentARC/GFPGAN
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A little bedtime story by the AI nanny | Stable Diffusion + GPT = a match made in latent space
It's not animating really, just lip sync and face restoration, here I used: https://github.com/Rudrabha/Wav2Lip and https://github.com/TencentARC/GFPGAN respectively.
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
Real-ESRGAN/GFPGAN https://github.com/xinntao/Real-ESRGAN (Real-ESRAN - Upscale images, facial restoration with GFPGAN setting) https://github.com/TencentARC/GFPGAN (GFPGAN - Facial restoration and Upscale) -------MATTE AND COMPOSITE--------
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NMKD Stable Diffusion GUI 1.9.0 is out now, featuring InstructPix2Pix - Edit images simply by using instructions! Link and details in comments.
Also I suggest implementing GFPGAN face fixing asap
Download https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth to Data/gfpgan/gfpgan.pth
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is there any open source image sharpening program that is easy to use, like download and install without much trouble?
Go to https://github.com/TencentARC/GFPGAN for instructions.
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Automatic1111's Stable Diffusion WebUI Easy Installer & Cool Launcher (Windows)
Cloning https://github.com/TencentARC/GFPGAN.git (to revision 8d2447a2d918f8eba5a4a01463fd48e45126a379) to c:\users\k\appdata\local\temp\pip-req-build-m7_2xzvf
- Jedna za hredit. StableDiffusion + GFPGAN (rekonstrukcija lica) + ArcaneGAN (stilizirani izgled). Workflow u komentaru :)
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What implementation do you recommend? AUTOMATIC1111's UI or cmdr2's UI or something else?
Not really just run the 6 installation instructions here: https://github.com/AUTOMATIC1111/stable-diffusion-webui. You will have the model already in the stable-diffusion sub-directory it needs copying and renaming to model.ckpt to where it tells you. I found the models database confusing and just searched google for GFPGANv1.4.pth and placed this in the automatic1111 install directory used this one: https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth
tensorflow
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
- One .gitignore to rule them all
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10 Github repositories to achieve Python mastery
Explore here.
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GitHub and Developer Ecosystem Control
Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.
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Non-determinism in GPT-4 is caused by Sparse MoE
Right but that's not an inherent GPU determinism issue. It's a software issue.
https://github.com/tensorflow/tensorflow/issues/3103#issueco... is correct that it's not necessary, it's a choice.
Your line of reasoning appears to be "GPUs are inherently non-deterministic don't be quick to judge someone's code" which as far as I can tell is dead wrong.
Admittedly there are some cases and instructions that may result in non-determinism but they are inherently necessary. The author should thinking carefully before introducing non-determinism. There are many scenarios where it is irrelevant, but ultimately the issue we are discussing here isn't the GPU's fault.
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Can someone explain how keras code gets into the Tensorflow package?
and things like y = layers.ELU()(y) work as expected. I wanted to see a list of the available layers so I went to the Tensorflow GitHub repository and to the keras directory. There's a warning in that directory that says:
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How to do deep learning with Caffe?
You can use Tensorflow's deep learning API for this.
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Ask HN: What is a AI chip and how does it work?
This is indeed the bread-and-butter, but there is use of all sorts of standard linear algebra algorithms. You can check various xla-related (accelerated linear algebra) folders in tensorflow or torch folders in pytorch to see the list of what is used [1],[2]
[1] https://github.com/tensorflow/tensorflow/tree/8d9b35f442045b...
[2] https://github.com/pytorch/pytorch/blob/6e3e3dd477e0fb9768ee...
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
2. TensorFlow Developed by the Google Brain team, TensorFlow is a powerful open-source machine learning framework that’s perfect for deep learning and neural network projects. With TensorFlow, you can build and train complex models using an intuitive and flexible API, making it an essential tool for any data scientist looking to delve into deep learning.
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Tensorflow V2 - LSTM Penn Tree Bank Dataset
I found the official Tensorflow V1 code from a Github branch here (https://github.com/tensorflow/tensorflow/blob/r0.7/tensorflow/models/rnn/ptb/ptb_word_lm.py). All code necessary to run that file is in the /ptb folder (except data).
What are some alternatives?
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GPEN
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
DFDNet - Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - A latent text-to-image diffusion model
scikit-learn - scikit-learn: machine learning in Python