Best 5 AI Video Generators GitHub You Need to Try in 2025

Categories of GitHub AI video generators

GitHub is a dynamic community of developers working together, sharing and creating software. It has more than 150 million users and 420 million projects, which can be described as a goldmine of innovative tools, including AI video generators. These tools utilize artificial intelligence to simplify video creation, allowing you to browse through multiple categories on GitHub to find the one that best suits your needs.

• AI text-to-video generators GitHub: You can utilise these tools to convert text inputs into compelling videos. They commonly use diffusion models or GANs. They will be perfect to use in a story or marketing, or educational information. Projects like CogVideoX excel in this.
• AI avatar video generators GitHub: These generate videos with AI-powered avatars, including text-to-speech and lip-syncing. You can create virtual presenters or training videos. Tools such as AI Studios on GitHub offer avatar customization of individualized content.
• AI short video generators GitHub: These tools are ideal to use on social media to create YouTube Shorts, Instagram Reels, or TikTok videos. They automate compilations, saving you time. AutoShorts.ai is one place where you can find simplified content production.
• Image-to-video generators: You can turn still images into moving videos, which are sometimes accompanied by text. They excel in animation and promotional videos. Explore projects like Text2Video-Zero, which can be utilized in creative storytelling.

Top 5 AI video generator GitHub to try in 2025

Open-Sora

Open-Sora, developed by hpcaitech, democratizes high-quality video production. You can generate videos from text or images using its 11B model. It supports resolutions like 256px and 768px. The project emphasizes accessibility and efficiency. You benefit from open-source checkpoints and training codes. Open-Sora simplifies complex video generation processes. It integrates models like Flux for text-to-image-to-video pipelines. You can adjust aspect ratios and frame counts easily. This tool fosters innovation in content creation. Ideal for developers, it offers robust documentation and community support.

CogVideo

CogVideo, created by THUDM, excels in generating high-frame-rate videos from text prompts. You can produce 4-second, 32-frame clips with strong prompt adherence. It uses a Transformer-based architecture, optimized with models like GLM-4 for enhanced video quality. You run CogVideoX-2B or 5B models, balancing memory and performance. The project includes tools for fine-tuning and converting inputs for better results. You deploy it on platforms like Hugging Face for interactive demos. CogVideo suits researchers aiming for rapid video generation with consistent motion.

Text-To-Video-AI

Text-To-Video-AI, by SamurAIGPT, simplifies video creation from text prompts. You input a topic, and it generates scripts, images, and narration using OpenAI and Pexels APIs. The tool supports multiple languages and voice models. It's designed for short, engaging videos like YouTube Shorts. You'll need to set up API keys, but the process is straightforward. The open-source setup encourages contributions. Perfect for creators automating social media content. Star the repo to support its development.

302 AI Video Generator

302 AI Video Generator, by 302ai, delivers high-quality videos from text or images. You can use models like Luma, Runway Gen-3, or CogVideoX. It supports video regeneration and expansion for editing. You can crop local images for customized outputs. The tool offers a no-code online version or deployable open-source code. You get configuration options for lens control and effects. It saves your creation history for easy access. Perfect for enterprise users, it provides API access and team management features.

AI-Creator

AI-Creator, from HKUDS, transforms narratives into engaging videos. You can adapt novels or tech news into cinematic sequences. It automates script generation, scene matching, and audio integration. You provide text or media, and AI-Creator handles the rest. The tool leverages models like GPT-4 for scripts and StableDiffusionXL for visuals. You can customize commentary styles or clone audio. Ideal for creators, it simplifies complex video production tasks. Community contributions enhance its versatility.

Key technologies and approaches on GitHub

• Diffusion models: Explore diffusion models on GitHub, like Stable Video Diffusion and CogVideoX. You can generate stunning videos by refining noise into coherent frames using text or image prompts. These models ensure temporal consistency, extending Stable Diffusion's power to video creation. Dive into repositories to experiment with cutting-edge video synthesis.
• Generative adversarial networks (GANs): Discover GANs in projects like FareedKhan-dev's text-to-video model. You train a generator and a discriminator to craft realistic video frames. GANs offer simpler architectures, making them accessible for video generation tasks. Check out GitHub to find lightweight, efficient GAN-based solutions for your projects.
• Transformers and multimodal models: Leverage transformers in projects like CogVideoX for text and image processing. You can create high-quality videos using large-scale language and visual models. These models excel at blending inputs for seamless synthesis. Explore GitHub repositories to integrate multimodal models into your video workflows.
• Text-to-speech (TTS) and Lip-sync: Integrate TTS and lip-sync in AI avatar video generators. You can create natural voiceovers and realistic lip movements with tools like SadTalker. These technologies enhance video authenticity. Browse GitHub to find projects that streamline face animation for your content.
• APIs and integrations: Enhance your projects with APIs like OpenAI or Pexels. You can add script generation or stock footage to videos. Many GitHub projects integrate these for robust functionality. Explore repositories to connect external APIs and boost your video creation pipeline.

Challenges and limitations while using GitHub repositories

• Computational resources: If you're working with advanced models like diffusion systems, you'll need high-end GPUs. Without one, you may face slow processing or failed outputs. While some projects offer GAN-based or low-memory alternatives, they often compromise on quality. You must balance performance with hardware availability.
• Video quality and length: Most open-source tools on GitHub only generate short clips—usually 10 to 60 seconds. Creating high-resolution videos with smooth transitions remains a challenge. If you aim for professional output, expect to deal with low frame rates and inconsistent visuals. You'll need post-processing to improve results.
• Ethical concerns: You must be cautious when generating videos, especially avatars or deepfake-style content. GitHub tools can be misused, raising serious ethical concerns. Using safety datasets like SafeSora helps reduce risk. Still, you should always create responsibly and avoid misleading audiences.
• Accessibility: Setting up these tools isn't beginner-friendly. You often deal with complex dependencies, environment setups, and API keys. If you're not tech-savvy, this can be overwhelming. The reliance on third-party services also adds an extra layer of complexity.

While GitHub offers powerful AI video tools, the setup can be time-consuming and hardware-intensive. If you're looking for a simpler solution, CapCut makes AI video creation effortless. With zero coding required, you can turn scripts into high-quality videos in just minutes.

Easier solution: Generate engaging AI videos using CapCut

Looking for a simpler way to create AI videos? Use CapCut desktop video editor to turn your text scripts into stunning videos without any hassle. With the built-in "AI video maker," you can convert plain text into animated videos in just minutes. You stay in control with powerful editing tools that let you fine-tune every detail. Add smooth video transitions, cinematic effects, and high-quality sound to bring your story to life. You don't need technical skills. Ready to create with ease? Download CapCut today for free!

Key features

• AI video maker: You can instantly turn your ideas into professional videos in different styles and ratios without editing skills.
• AI media (Text to video/Image to video): Just enter your script or image, select a model (Seedance & Video G4.0), and the tool generates engaging video content for you.
• AI avatars: CapCut provides some AI avatars for you to generate videos with lip sync, and you can also customize your own avatars.
• AI video templates: Save time by choosing from ready-made AI video templates that match your content goals. Video template topics include education, news, and more.
• Auto lip sync: Your avatars speak naturally, syncing perfectly with your voice or generated audio.

Step-by-step to make AI videos in CapCut

STEP 1
1. Access the AI video maker

Open the CapCut desktop app and find the "AI video maker" feature. Click on it to begin creating your AI-powered video.

STEP 2
1. Generate instant AI video

Inside the "AI video maker", click on "Instant AI video" to proceed. A new window will open. Type your script into the "Enter script" field. Switch to the "Style" tab to select a theme, and use the "Aspect ratio" tab to set your preferred format. From the bottom-left corner, select a voice using the voice menu. Once you're ready, press "Create" to generate your video.

When the video is generated, personalize it to match your needs. Go to "Captions" to change how your subtitles look, choose a template that suits your tone, and resize text by dragging. For background audio, head to the "Music" tab, pick a soundtrack, and click the "+" to add it. If you want more control, tap "Edit more" to apply filters, effects, and other advanced edits.

STEP 3
1. Export the final video

Once everything looks good, click "Export" at the top-right. Choose your desired resolution and file type, then click "Export" again to download the final video to your device.

Conclusion

GitHub AI video generator opens up endless creative possibilities. You now know how they work, what categories they fall into, and how to set them up step by step. These open-source solutions are powerful but often complex and resource-heavy. If you're short on time, lack coding skills, or want faster results, CapCut is your best option. With features like "AI video maker," avatars, lip sync, and templates, you can create stunning videos effortlessly. You don't need to be a tech expert, just bring your idea. Ready to start? Download CapCut for free and start generating videos.

FAQs

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1. How to generate an AI kissing video using the GitHub generator?

To generate an AI kissing video using a GitHub project, you first need to choose a suitable model that supports facial animation—like SadTalker or Wav2Lip. Clone the repository, set up the Python environment, and download the required pre-trained models. Use input images of two characters and pair them with synchronized lip movement or facial prompts. Most models require manual tweaking for natural expressions. If this sounds complex, you can use CapCut's AI video maker to enter a text prompt like "a video that shows a couple kissing under a tree" to generate the video easily.

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1. What is the best AI avatar video tool available on GitHub?

CogVideoX stands out as one of the best AI avatar video tools on GitHub. It uses advanced multimodal transformers to generate realistic avatars with synced audio and lip movement. You can input text and get a talking avatar video. However, it requires GPU power and technical setup. If you want an easier way, CapCut provides pre-made AI avatars and auto lip-sync features—perfect for fast, professional results.

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1. How short can videos be in GitHub AI projects?

Most GitHub AI video tools generate clips between 10 to 60 seconds. You'll need to adjust settings for shorter durations. However, CapCut allows you to generate a video without a duration limitation.