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https://github.com/user-attachments/assets/a42e7457-fcc8-40da-83fc-784c45a8b95d
Just input a topic, and Pixelle-Video will automatically:
Zero threshold, zero editing experience - Make video creation as simple as typing a sentence!
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Pixelle-Video adopts a modular design, the entire video generation process is clear and concise:
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From input text to final video output, the entire process is clear and simple: Script Generation → Image Planning → Frame-by-Frame Processing → Video Composition
Each step supports flexible customization, allowing you to choose different AI models, audio engines, visual styles, etc., to meet personalized creation needs.
Here are actual cases generated using Pixelle-Video, showcasing video effects with different themes and styles:
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Korean-speaking AI Avatar |
Animated Cartoon Video |
Dancing Kitten |
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The Scenery Along the Journey |
Santa ID |
Why Haven’t We Found Alien Civilizations Yet? |
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How to Level Up Yourself |
Understanding Antifragility |
Zizhi Tongjian (Comprehensive Mirror for Aid in Governance) |
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Winter Sunlight |
Doupo Cangqiong (Battle Through the Heavens) |
Essential Wellness Tips |
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Side Hustle Money Making |
Insights from Zizhi Tongjian |
💡 Tip: All these videos are fully automatically generated by AI just by inputting a topic keyword, without any video editing experience required!
No need to install Python, uv, or ffmpeg - ready to use out of the box!
👉 Download Windows All-in-One Package
start.bat to launch the Web interface💡 Tip: The package includes all dependencies, no need to manually install any environment. On first use, you only need to configure API keys.
Before starting, you need to install Python package manager uv and video processing tool ffmpeg:
Please visit the uv official documentation to see the installation method for your system:
👉 uv Installation Guide
After installation, run uv --version in the terminal to verify successful installation.
macOS
brew install ffmpeg
Ubuntu / Debian
sudo apt update
sudo apt install ffmpeg
Windows
bin directory to the system environment variable PATHAfter installation, run ffmpeg -version in the terminal to verify successful installation.
git clone https://github.com/AIDC-AI/Pixelle-Video.git
cd Pixelle-Video
# Run with uv (recommended, will automatically install dependencies)
uv run streamlit run web/app.py
Browser will automatically open http://localhost:8501
On first use, expand the "⚙️ System Configuration" panel and fill in:
After configuration, click "Save Configuration", and you can start generating videos!
After opening the Web interface, you will see a three-column layout. Here's a detailed explanation of each part:
Configuration is required on first use. Click to expand the "⚙️ System Configuration" panel:
Used for generating video scripts.
Quick Select Preset
Manual Configuration
Used for generating video images.
Local Deployment (Recommended)
Cloud Deployment
After configuration, click "Save Configuration".
bgm/ folderworkflows/ folderDetermine what style of images AI generates.
ComfyUI Workflow
image_flux.jsonworkflows/ folderImage Dimensions
Prompt Prefix
Determines video layout and design.
Template Naming Convention
static_*.html: Static templates (no AI-generated media, text-only styles)image_*.html: Image templates (uses AI-generated images as background)video_*.html: Video templates (uses AI-generated videos as background)Usage
templates/ folderoutput/ folderQ: How long does it take to use for the first time?
A: Generation time depends on the number of video frames, network conditions, and AI inference speed, typically completed within a few minutes.
Q: What if I'm not satisfied with the video?
A: You can try:
Q: What about the cost?
A: This project fully supports free operation!
Selection Suggestion: If you have a local GPU, recommend completely free solution, otherwise recommend using Qwen (cost-effective)
Pixelle-Video design is inspired by the following excellent open-source projects:
Thanks for the open-source spirit of these projects! 🙏
Scan the QR codes below to join our communities for latest updates and technical support:
| Discord Community | WeChat Group |
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This project is released under the Apache License 2.0. For details, please see the LICENSE file.