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Text-to-Video (T2V) generation framework from Vchitect https://github.com/Vchitect/LaVie

1 Click Installer for Retrieval-based-Voice-Conversion-WebUI (https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)

clone voices into different languages by using just a quick 3-second audio clip. (a local version of https://huggingface.co/spaces/coqui/xtts)

Separate Anything You Describe (https://huggingface.co/spaces/Audio-AGI/AudioSep)

Convert your videos to densepose and use it on MagicAnimate https://github.com/Flode-Labs/vid2densepose

[NVIDIA GPU Only] An optimized version of MagicAnimate https://github.com/sdbds/magic-animate-for-windows

Style Aligned Image Generation via Shared Attention https://style-aligned-gen.github.io/

Turn any video into Openpose video https://huggingface.co/spaces/fffiloni/video2openpose2

When Expressive Talking Head Generation Meets Diffusion Probabilistic Models (https://github.com/ali-vilab/dreamtalk)

Enter a face image and transform it to any other image. Demo for the h94/IP-Adapter-FaceID model https://huggingface.co/spaces/multimodalart/Ip-Adapter-FaceID

Instantly clone any voice from any text to any speech, in any language https://huggingface.co/spaces/myshell-ai/OpenVoice

[NVIDIA ONLY] Efficient Implementation of Animate Anyone (13G VRAM + 2G model size) https://github.com/sdbds/Moore-AnimateAnyone-for-windows

Video to Openpose & DWPose (All OS supported) https://github.com/sdbds/vid2pose

MAGNeT is a text-to-music and text-to-sound model capable of generating high-quality audio samples conditioned on text descriptions https://github.com/facebookresearch/audiocraft/blob/main/docs/MAGNET.md

Customizing Realistic Human Photos via Stacked ID Embedding https://github.com/TencentARC/PhotoMaker

state-of-the-art tuning-free method to achieve ID-Preserving generation with only single image, supporting various downstream tasks. https://instantid.github.io/

[Runs fast on NVIDIA GPUs. Works on M1/M2/M3 Macs but slow] VideoCrafter is an open-source video generation and editing toolbox for crafting video content. It currently includes the Text2Video and Image2Video models https://github.com/AILab-CVC/VideoCrafter

Background removal model developed by BRIA.AI, trained on a carefully selected dataset and is available as an open-source model for non-commercial use https://huggingface.co/spaces/briaai/BRIA-RMBG-1.4

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation https://huggingface.co/spaces/ashawkey/LGM