# Video generation

FlyAgt is an AI image and video generation platform that provides advanced AI tools, from creation to editing and enhancement. Its main advantages include low cost, a variety of professional tools, and user privacy protection.

Wan_AI Creative Drawing is a creative painting and video creation platform based on artificial intelligence technology. Through advanced AI models, it can generate unique artwork and video content based on the text descriptions provided by users. This technology not only lowers the threshold for art creation but also provides powerful tools for creative professionals. The product primarily targets creative professionals, artists, and ordinary users, helping them quickly realize their creative ideas. Currently, the platform may offer a free trial or paid usage; specific pricing and positioning need further confirmation.

Diffusion as Shader (DaS) is an innovative video generation control model designed to achieve diverse control over video generation through a 3D perception diffusion process. This model utilizes 3D tracking videos as control inputs, supporting multiple video control tasks under a unified architecture, including mesh-to-video generation, camera control, motion transfer, and object manipulation. The main advantage of DaS lies in its 3D perception capabilities, significantly enhancing the temporal consistency of generated videos and demonstrating powerful control abilities with minimal data and short tuning times. Developed collaboratively by research teams from institutions like the Hong Kong University of Science and Technology, the model aims to advance video generation technology, providing more flexible and efficient solutions for fields such as filmmaking and virtual reality.

Ruyi-Models is an image-to-video model that can generate cinematic-quality videos at resolutions up to 768 and 24 frames per second. It supports lens control and motion range control. Using the RTX 3090 or RTX 4090 graphics cards, it can generate lossless videos at 512 resolution and 120 frames per second. This model has gained attention for its ability to produce high-quality videos with precise control over details, making it highly valuable in fields requiring high-quality video content such as film production, game development, and virtual reality experiences.

PAB is a technology for real-time video generation. Through Pyramid Attention Broadcast, it accelerates the video generation process and provides an efficient video generation solution. The main advantages of this technology include real-time capability, efficiency, and quality assurance. PAB is suitable for applications requiring real-time video generation capabilities, bringing a major breakthrough to the video generation field.

Creatify is an AI-powered app that generates high-quality marketing videos from simple product links or text descriptions. No video editing experience required, customize unlimited variations with just a few clicks.

GenAI Courses is an online platform offering AI learning courses. Through these courses, users can master technologies such as GenAI, AI, machine learning, deep learning, chatGPT, DALLE, image generation, video generation, and text generation, as well as gain insights into the latest developments in the AI field for 2024.

Ctrl-Adapter is a Controlnet specifically designed for video generation, providing fine-grained control over images and videos. It optimizes video temporal alignment, adapts to various base models, and possesses video editing capabilities, significantly enhancing video generation efficiency and quality.

CameraCtrl is dedicated to providing accurate camera pose control for text-to-video models, achieving parameterized camera trajectories by training the camera encoder, thus enabling camera control during video generation. The product has demonstrated that diverse camera distribution and similar appearances in videos can enhance controllability and generalization ability through comprehensive research on various datasets. Experiments have proven that CameraCtrl is highly effective in achieving accurate and domain-adaptive camera control, which represents a significant advancement in dynamically and customizing video storytelling from text and camera pose inputs.

MuseV is a diffusion model-based virtual human video generation framework that supports the generation of unlimited length videos. It utilizes a novel visual conditional parallel denoising approach. It provides a pre-trained virtual human video generation model, supporting functionalities like Image2Video, Text2Image2Video, and Video2Video. MuseV is compatible with the Stable Diffusion ecosystem, including base models, LoRA, ControlNet, and more. It supports multi-reference image techniques such as IPAdapter, ReferenceOnly, ReferenceNet, and IPAdapterFaceID. MuseV's strength lies in its ability to generate high-fidelity, unlimited length videos, specifically targeting the video generation domain.

AniPortrait is a project that generates dynamic videos of speaking and singing faces based on audio and image input. It can create realistic facial animations synchronized with audio and static face images. Supports multiple languages and facial redrawing, head pose control. Features include audio-driven animation synthesis, facial reenactment, head pose control, support for self-driven and audio-driven video generation, high-quality animation generation, and flexible model and weight configuration.

DynamiCrafter is a text-to-video model capable of generating approximately 2-second dynamic videos based on input images and text. This model, trained to generate 576x1024 resolution videos, excels at capturing the dynamic effects of both input images and text descriptions, producing realistic short video content. Suitable for video production, animation creation, and other video generation scenarios, DynamiCrafter serves as a powerful productivity tool for content creators. The model is currently in the research stage and is available for personal and research use only.

VLOGGER is a method for generating text and audio-driven speaking human videos from a single input portrait image. It builds upon the success of recent generative diffusion models. Our method consists of 1) a random human-to-3D motion diffusion model, and 2) a novel diffusion-based architecture that enhances text-to-image models through temporal and spatial control. This approach enables the generation of high-quality videos of variable length, and is easily controllable through advanced expression of human faces and bodies. Unlike previous work, our method does not require individual training for each person, nor does it rely on face detection and cropping. It generates complete images (rather than just faces or lips), and takes into account the wide range of scenarios required for the correct synthesis of human communication (e.g., visible torsos or diverse subject identities).

Open-Sora-Plan is an open-source project dedicated to replicating OpenAI's Sora (T2V model) and constructing knowledge about Video-VQVAE (VideoGPT) + DiT. Initiated by the Peking University-Tuizhan AIGC Joint Laboratory, the project currently has limited resources and seeks contributions from the open-source community. The project provides training code and welcomes Pull Requests.

Stable video diffusion is an AI-powered video generation platform. Users can transform concepts into compelling videos through text or images. The platform utilizes cutting-edge deep learning technology to generate a wide range of high-quality video content, including commercial promotional videos, educational videos, and demonstration videos. Its advantages include fast generation speed, high quality, and user-friendly simplicity. Pricing is based on a subscription model that depends on the number of videos created. It is targeted towards enterprise customers who frequently require high-quality video generation.

Sora AI Video Generator is an online platform that uses artificial intelligence technology to create videos. By simply inputting a text description, it can automatically generate high-quality video animations. The platform offers robust creative tools, enabling users to produce exquisite video content without specialized technical knowledge. Key features include: support for multiple visual style selections, video resolution up to 4K, the ability to add background music and text, and one-click generation of high-quality videos. Suitable for creative industries such as video creators, advertising agencies, and game developers, as well as for the production of video content by individuals.

MagicVideo-V2 is an end-to-end video generation pipeline that integrates text-to-image models, video motion generators, reference image embedding modules, and frame interpolation modules. Its architecture design enables MagicVideo-V2 to generate visually appealing, high-resolution videos with excellent fidelity and smoothness. Through large-scale user evaluations, it has demonstrated superior performance compared to leading text-to-video systems such as Runway, Pika 1.0, Morph, Moon Valley, and Stable Video Diffusion.

Drip Art AI is a powerful, cloud-based backend for Comfy UI, offering the latest generative AI technology to developers and professionals for creating awe-inspiring images and videos. Simply drag and drop your workflow and models into Drip, and we'll handle everything else.

Astria is an intelligent AI image generation tool that empowers users to create customized images through high-quality Fine-tuning technology. Without the need to manage GPUs, Python scripts, or adjust hyperparameters, Astria delivers stable and efficient generation results. Astria also offers video generation capabilities, allowing users to conceptualize and create dynamic images. Using the Astria API, developers can easily integrate and leverage Astria's functionality. Whether for personal creative projects or commercial applications, Astria helps users generate high-quality images quickly and efficiently.