Search Results for "text-to-video"
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Showing 21436 open source projects for "text-to-video"
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Pixelle-Video
AI Fully Automated Short Video Engine
Pixelle-Video is an AI-driven system designed for generating and processing video content using modern generative techniques. It focuses on enabling automated video creation workflows where visual content can be synthesized, edited, or enhanced through AI models. The project integrates different components of video processing, such as frame generation, transformation, and sequencing, into a unified pipeline. -
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Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. -
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Video.js
Open source HTML5 video player
Make your web video player truly yours with Video.js, the world's most popular open source HTML5 player framework. Video.js was built from the ground up for an HTML5 world, supporting video playback on both desktops and mobile devices, and on practically every modern browser. Aside from HTML5 video, Video.js also supports modern streaming formats like HLS and DASH, YouTube, Vimeo and even Flash thanks to an abundance of well-documented plugins. -
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Video-subtitle-remover (VSR)
AI tool that removes hardcoded subtitles and text from videos locally
Video Subtitle Remover is an AI-based application designed to remove hardcoded subtitles from videos and generate new files without the embedded text. Video Subtitle Remover analyzes video frames and detects subtitle regions, then replaces the removed areas using an AI algorithm that fills the space with reconstructed visual content. This process aims to maintain the original resolution and visual continuity of the video after subtitle removal. ... -
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video-compare
Split screen video comparison tool using FFmpeg and SDL2
video-compare is a split-screen video comparison tool written in C++ that enables users to analyze differences between two video sources in real time. It uses FFmpeg libraries and SDL2 to decode and render synchronized playback, allowing precise frame-by-frame comparison. The tool supports videos with different formats, resolutions, and frame rates, making it versatile for testing encoding changes or processing effects. -
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LTX-Video
Official repository for LTX-Video
LTX-Video is a sophisticated multimedia processing framework from Lightricks designed to handle high-quality video editing, compositing, and transformation tasks with performance and scalability. It provides runtime components that efficiently decode, encode, and manipulate video streams, frame buffers, and audio tracks while exposing a rich API for building customized editing features like transitions, effects, color grading, and keyframe automation. -
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video-use
Edit videos with Claude Code
...The system intelligently analyzes audio transcripts and visual cues to make precise, context-aware editing decisions. It supports a wide range of content types, including interviews, tutorials, montages, and talking-head videos. By combining structured text representations with on-demand visual previews, it minimizes processing overhead while maintaining high-quality results. Overall, Video Use reimagines video editing as an AI-driven, conversational workflow. -
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. -
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Wan2.2
Wan2.2: Open and Advanced Large-Scale Video Generative Model
...The model is trained on significantly larger datasets than its predecessor, greatly enhancing motion complexity, semantic understanding, and aesthetic diversity. Wan2.2 also open-sources a 5-billion parameter high-compression VAE-based hybrid text-image-to-video (TI2V) model that supports 720P video generation at 24fps on consumer-grade GPUs like the RTX 4090. It supports multiple video generation tasks including text-to-video. -
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Open Video Downloader
A cross-platform GUI for youtube-dl made in Electron and node.js
A cross-platform GUI for youtube-dl made in Electron and node.js. Download from all kind of platforms: YouTube, vimeo, twitter & many more. Download multiple videos/playlists/channels in one go. Select the resolution and format you want to download in. Download private videos (currently only tested on YouTube). Multithreaded, up to 32 videos can be downloaded synchronously. Shows how much size the download will use up on your system. The app automatically keeps ytdl up-to-date. Please be... -
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Nextcloud Text
Collaborative document editing using Markdown
Nextcloud Text is a collaborative document editor that lets you work, share and collaborate with friends and colleagues on documents. Though it is available in Nextcloud 16 and 17, anybody can access Text whether they’re using Nextcloud or not. Nextcloud Text files are saved as Markdown, so they can be edited from any other text app. Nextcloud Text is lightweight and distraction-free, giving you only the formatting that you need so you can focus on writing. -
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Wan2.1
Wan2.1: Open and Advanced Large-Scale Video Generative Model
Wan2.1 is a foundational open-source large-scale video generative model developed by the Wan team, providing high-quality video generation from text and images. It employs advanced diffusion-based architectures to produce coherent, temporally consistent videos with realistic motion and visual fidelity. Wan2.1 focuses on efficient video synthesis while maintaining rich semantic and aesthetic detail, enabling applications in content creation, entertainment, and research. ... -
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Text Editors
Sempare Template (scripting) Engine for Delphi
Sempare Template (scripting) Engine for Delphi allows for flexible dynamic text generation. It can be used for generating email, HTML, reports, source code, xml, configuration, etc. -
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CogVideo
Text and image to video generation: CogVideoX and CogVideo
CogVideo is an open-source family of advanced video generation models that can create videos from text, images, or existing video inputs. Built on large-scale Transformer and diffusion architectures, it enables multimodal generation across text-to-video, image-to-video, and video continuation tasks. The latest CogVideoX models offer higher resolution outputs, longer video durations, and improved controllability through prompt engineering. ... -
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AutoCut
Cut videos with a text editor
AutoCut is an innovative tool that lets users edit and cut videos using a text-centric workflow instead of a traditional video editor. AutoCut automatically generates subtitles or transcripts for uploaded videos, and users can simply edit the text file to select the segments of the video they want to keep. This approach transforms video editing into a textual editing task, greatly lowering the barrier to editing for users who find traditional video editors complex or unintuitive. ... -
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Olive Video Editor
Free open-source non-linear video editor
...Olive 0.2 provides powerful and flexible node-based compositing. Node editing is a form of visual programming that gives you full control over how Olive renders your video. Rather than a "fixed" pipeline where one effect occurs after the other, nodes allow you to connect anything to anything else allowing a ton of flexibility for creating effects. You'll be able to create virtually any effect without writing a single line of code (or waiting for us to implement it for you). Additionally, these nodes can be copied and pasted into text allowing them to be shared extremely easily. ... -
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Recognizers-Text
Recognition and resolution of numbers, units, date/time, etc.
Recognizers-Text is a multilingual text recognition library that extracts structured information such as dates, numbers, and currency values from unstructured text. -
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Video Diffusion - Pytorch
Implementation of Video Diffusion Models
...Any new developments for text-to-video synthesis will be centralized at Imagen-pytorch. For conditioning on text, they derived text embeddings by first passing the tokenized text through BERT-large. You can also directly pass in the descriptions of the video as strings, if you plan on using BERT-base for text conditioning. This repository also contains a handy Trainer class for training on a folder of gifs. -
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Unrud Video Downloader
Download videos from websites like YouTube and many others
Video Downloader is a desktop application designed to simplify the process of downloading videos from various online platforms through a user-friendly graphical interface. Built on top of yt-dlp, it abstracts the complexity of command-line tools and provides an accessible way for users to retrieve video and audio content. The application supports a wide range of features, including downloading entire playlists, handling private or password-protected content, and automatically selecting optimal formats based on user preferences. ... -
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Step-Video-T2V
State-of-the-art (SoTA) text-to-video pre-trained model
Step-Video-T2V is a state-of-the-art text-to-video foundation model developed to generate videos from natural-language prompts; its 30B-parameter architecture is designed to produce coherent, temporally extended video sequences — up to around 204 frames — based on input text. Under the hood it uses a compressed latent representation (a Video-VAE) to reduce spatial and temporal redundancy, and a denoising diffusion (or similar) process over that latent space to generate smooth, plausible motion and visuals. ... -
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Phenaki - Pytorch
Implementation of Phenaki Video, which uses Mask GIT
...This repository will also endeavor to allow the researcher to train on text-to-image and then text-to-video. Similarly, for unconditional training, the researcher should be able to first train on images and then fine tune on video. -
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Subtitle Edit
The subtitle editor
Subtitle Edit (SE) is a free, open‑source subtitle editor for creating, editing, synchronizing, and converting subtitles. It supports a wide range of formats (over 300) and offers both graphical and text-based editing views. Easy insertion, deletion, and shift of subtitle lines. Portable versions available (.NET 4.8, 32/64-bit), runs on Windows and via compatibility on Linux. Active development with frequent updates and issue tracking. Plugin support and rich editing tools (e.g., translation, spellcheck, sync). -
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LTX-2.3
Official Python inference and LoRA trainer package
LTX-2.3 is an open-source multimodal artificial intelligence foundation model developed by Lightricks for generating synchronized video and audio from prompts or other inputs. Unlike most earlier video generation systems that only produced silent clips, LTX-2 combines video and audio generation in a unified architecture capable of producing coherent audiovisual scenes. The model uses a diffusion-transformer-based architecture designed to generate high-fidelity visual frames while simultaneously producing corresponding audio elements such as speech, music, ambient sound, or effects. ... -
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Short Video Factory
AI tool for automatic batch short video creation and editing
Short Video Factory is an open source desktop application designed to simplify the creation of short-form videos using AI-driven automation. It enables users to generate product marketing clips and general content videos by combining simple prompt-based input with pre-prepared media assets. Short Video Factory integrates multiple stages of video production, including script generation, voice synthesis, video editing, and subtitle effects, into a single streamlined workflow. ... -
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Make-A-Video - Pytorch (wip)
Implementation of Make-A-Video, new SOTA text to video generator
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch. They combine pseudo-3d convolutions (axial convolutions) and temporal attention and show much better temporal fusion. The pseudo-3d convolutions isn't a new concept. It has been explored before in other contexts, say for protein contact prediction as "dimensional hybrid residual networks".
