XiuSdk's repositories

AniPortrait

AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation

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BFRffusion

Official codes of Towards Real-World Blind Face Restoration with Generative Diffusion Prior

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CelebV-Text

(CVPR 2023) CelebV-Text: A Large-Scale Facial Text-Video Dataset

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champ

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

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DeepFaceLive

Real-time face swap for PC streaming or video calls

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FreeU

FreeU: Free Lunch in Diffusion U-Net

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keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

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LayerDiffusion

Transparent Image Layer Diffusion using Latent Transparency

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llama2.c

Inference Llama 2 in one file of pure C

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mergekit

Tools for merging pretrained large language models.

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minSDTF

Stable Diffusion V1.5 Inference With PyTorch Weights And More Features Like Stable Diffusion Web UI In TensorFlow

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ml-facelit

Official repository of FaceLit: Neural 3D Relightable Faces (CVPR 2023)

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Next3D

[CVPR 2023 Highlight] Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

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PromptGenTF

A Simple and Efficient PromptGen Inference Implementation In TensorFlow 2

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Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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roop

one-click deepfake (face swap)

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SEO

A Simple and Efficient Optimizer for Deep Learning

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SkinDeep

Get Deinked!!

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so-vits-svc

SoftVC VITS Singing Voice Conversion

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soundstorm-pytorch

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

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stable-diffusion

A latent text-to-image diffusion model

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T2I-Adapter

T2I-Adapter

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taesd-tf

Tiny AutoEncoder for Stable Diffusion in TensorFlow / Keras

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text-generation-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

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wav2lip-hq

Extension of Wav2Lip repository for processing high-quality videos.

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yolov8-face

yolov8 face detection with landmark

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yolov8-face-landmarks-opencv-dnn

使用OpenCV部署yolov8检测人脸和关键点,包含C++和Python两个版本的程序,只依赖opencv库就可以运行,彻底摆脱对任何深度学习框架的依赖。

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