Cross Modal Retrieval with Querybank Normalisation
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Updated
Nov 21, 2023 - Python
Cross Modal Retrieval with Querybank Normalisation
Text To Video Synthesis Colab
A frame2frame, video2video Video Editor based on the stable-diffusion
Text Encoders finally matter 🤖🎥 - scale CLIP & LLM influence! + a Nerdy Transformer Shuffle node
SkyReels V1: The first and most advanced open-source human-centric video foundation model
This repository is trained from [MotionDirector](https://github.com/danhtran2mind/MotionDirector), a fork of [Showlab's MotionDirector](https://github.com/showlab/MotionDirector).
ComfyUI nodes for Kandinsky 5 DiT. T2V model generates high-quality video with advanced text conditioning.
011.video Free text-to-video generator
stable diffusion webui colab
Training-Free (Inversion-Free) methods meet WAN2.1-T2V🤗
🎥 Zero-Shot Video Generation – A neural video synthesis studio powered by latent diffusion and cross-frame attention.
$100 million global solicitation for AIGC lawyer cooperation.The ZW skeleton network technology was first introduced in 1994 and is now the core technology for all AIGC and video generation models worldwide, OpenAI、 Global AI giants such as ByteDance, Tencent, and Meta have all used my technology without authorization, resulting in significant infr
A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.
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