title: “AI Tool Guide” description: “Technical guide and comparison.” topic and get a complete video with script, AI images, voiceover, and BGM. date: 2026-05-15T04:20:25+09:00 lastmod: 2026-05-15T04:20:25+09:00 tech_stack: - Go

  • Python application_domain: Ai Tools source_version: ’' licensing_model: Open Source license_type: MIT file_size: “27.1 MB” file_md5: ’' download_url: https://github.com/AIDC-AI/Pixelle-Video backup_url: ’' last_maintained: “2026-05-06” draft: false aliases:
    • /en/posts/pixelle-video-ai-short-video-generator/
  • /posts/pixelle-video-ai-short-video-generator/ faqs: - q: ‘What is Pixelle-Video?’ a: ‘Pixelle-Video is an open-source, MIT-licensed AI engine that turns a single topic into a complete short video. From one input it automatically writes the script, generates matching AI images or video, synthesizes voiceover with TTS, and adds background music before rendering the final clip.’
    • q: ‘Is Pixelle-Video free and open source?’ a: ‘Yes. Pixelle-Video is released under the MIT license by AIDC-AI and is free to self-host. Local deployment costs nothing aside from needing a GPU, though you can optionally use pay-per-use cloud services like RunningHub for image generation if you lack local hardware.’
    • q: ‘Which AI models does Pixelle-Video support?’ a: ‘For scripts it supports OpenAI GPT-4o/GPT-4o-mini, Alibaba Tongyi Qianwen, DeepSeek V3/R1, and local Ollama models. For images it works with FLUX, Stable Diffusion, Qwen, Nano Banana, and RunningHub, and for voice it supports Edge-TTS, Index-TTS, and ChatTTS.’
    • q: ‘How do you install and run Pixelle-Video?’ a: ‘Clone the repo with git, run pip install -r requirements.txt, add your API keys to config.json, then launch the interface with python webui.py. The Gradio Web UI opens at http://localhost:7860, where you enter a topic, pick a voice and template, and click Generate Video.’
    • q: ‘What can Pixelle-Video do beyond basic video generation?’ a: ‘It includes three extension modules: a Digital Human Avatar that turns a photo into a lip-synced talking-head video in Korean, Chinese, or English; Image-to-Video that animates static images; and Motion Transfer that maps motion from a reference video onto a still image.’

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Pixelle-Video Review: AI Auto Short Video Generator — One Topic to Full Video

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Pixelle-Video web UI showing script, TTS, scene template, generated output Source: github.com/AIDC-AI/Pixelle-Video — official Web UI

What is Pixelle-Video?

Pixelle-Video is an open-source AI-powered automatic short video generation engine. Simply input a topic, and it automatically completes the entire video production pipeline: - ✍️ AI Script Writing — Generates video narration based on your topic

  • 🎨 AI Image/Video Generation — Creates matching visuals for every scene
  • 🗣️ AI Voice Synthesis — Converts script to natural speech using TTS
  • 🎵 Background Music — Adds BGM to enhance atmosphere
  • 🎬 One-Click Video Assembly — Renders final video automatically

Zero门槛, zero editing experience — video creation becomes as simple as typing one sentence!

🔗 GitHub: https://github.com/AIDC-AI/Pixelle-Video


Key Features

| Feature | Description | |


|


| | Fully Automatic | Input topic → get complete video | | AI Smart Script | AI writes narration, no manual scripting needed | | AI Image Generation | Every sentence gets a matching AI illustration | | AI Video Generation | Supports WAN 2.1 and other video models for dynamic content | | Multi TTS Support | Edge-TTS, Index-TTS, and more voice synthesis options | | Background Music | Built-in BGM support for better atmosphere | | Visual Templates | Multiple templates for unique video styles | | Flexible Sizes | Portrait, landscape, and custom video dimensions | | Multiple AI Models | GPT, Tongyi Qianwen, DeepSeek, Ollama support | | ComfyUI Architecture | Modular design, customizable workflows |


Video Generation Pipeline

Pixelle-Video uses a modular design with a clear workflow: Text Input → Script Generation → Image Planning → Frame Processing → Video Synthesis

Each stage supports flexible customization — choose different AI models, audio engines, visual styles to meet personalized creation needs.


Extended Modules

Beyond basic video generation, Pixelle-Video offers powerful extension modules: ### 👤 Digital Human Avatar Upload a photo and generate a talking-head video with lip-sync. Supports multiple languages including Korean, Chinese, and English.

🖼️ Image-to-Video

Transform static images into dynamic videos using AI video generation models.

💃 Motion Transfer

Upload a reference video and image to transfer motions — like making a photo dance following video movements.


Supported AI Models

LLM (Script Generation)

  • OpenAI GPT-4o / GPT-4o-mini
  • Alibaba Tongyi Qianwen
  • DeepSeek V3 / R1
  • Ollama (local deployment)
  • Custom API endpoints

Image Generation

  • FLUX (via ComfyUI)
  • Stable Diffusion
  • Qwen Image Generation
  • RunningHub cloud service
  • Nano Banana model

TTS (Voice Synthesis)

  • Edge-TTS (free, multi-language)
  • Index-TTS (voice cloning)
  • ChatTTS
  • Custom ComfyUI TTS workflows

Quick Start

1. Clone Repository

git clone https://github.com/AIDC-AI/Pixelle-Video.git
cd Pixelle-Video

2. Install Dependencies

pip install -r requirements.txt

3. Configure API Keys

Edit config.json with your API keys: `````json { “llm”: { “api_key”: “your-api-key”, “base_url”: “https://api.openai.com/v1", “model”: “gpt-4o” }, “image”: { “comfyui_url”: “http://127.0.0.1:8188” } }


### 4. Launch Web UI

`````bash
python webui.py

Open ````http://localhost:7860``` in your browser.

5. Generate Your First Video

  1. Enter a topic like “Why reading habits matter”
  2. Select your preferred TTS voice
  3. Choose a visual template
  4. Click “Generate Video”
  5. Wait 2-5 minutes for the complete video

Use Cases

| Scenario | Example Topic | |


|


| | Knowledge Sharing | “10 Python tricks beginners should know” | | Product Review | “iPhone 16 vs Samsung S24 comparison” | | Storytelling | “The journey of a startup founder” | | Educational Content | “How does blockchain work?” | | News Commentary | “AI trends in 2026” | | Book/Movie Review | “Lessons from ‘Atomic Habits’” |


Video Style Examples

Pixelle-Video supports multiple video styles: - 🌄 Documentary Style — Travel, nature, human stories

  • 🔍 Cultural Analysis — Deep dives into trends and phenomena
  • 🔭 Science & Philosophy — Complex concepts made simple
  • 🌱 Personal Growth — Self-improvement, productivity
  • 🧠 Deep Thinking — Psychology, philosophy, reflection
  • 🏯 History & Culture — Ancient wisdom, historical events
  • ☀️ Emotional — Heartwarming stories, inspiration
  • 📜 Fiction Commentary — Novel reviews, character analysis
  • 🧬 Health & Wellness — Medical tips, wellness advice

Technical Architecture

Pixelle-Video is built on ComfyUI architecture: - Modular Workflows — Each component (LLM, TTS, image gen) is a separate node

  • Customizable Pipeline — Swap any model or service easily
  • API-First Design — All capabilities exposed via REST API
  • Web UI — Gradio-based interface for easy use
  • Batch Processing — Generate multiple videos simultaneously

Performance & Cost

| Option | Cost | Speed | Quality | |


|


|


|


| | Local Deployment | Free (GPU required) | Fast | High | | RunningHub Cloud | Pay-per-use | Instant | High | | Mixed Mode | Flexible | Balanced | High |

Recommended setup for beginners: - LLM: DeepSeek API (cheap, good quality)

  • Image: RunningHub (no local GPU needed)
  • TTS: Edge-TTS (free, multi-language)

Comparison with Other Tools

| Feature | Pixelle-Video | HeyGen | Synthesia | Pictory | |


|


|


|


|


| | Open Source | ✅ | ❌ | ❌ | ❌ | | Free Tier | ✅ | Limited | Limited | Limited | | Local Deployment | ✅ | ❌ | ❌ | ❌ | | Custom Models | ✅ | ❌ | ❌ | ❌ | | ComfyUI Integration | ✅ | ❌ | ❌ | ❌ | | Voice Cloning | ✅ | ✅ | ✅ | ❌ | | Digital Human | ✅ | ✅ | ✅ | ❌ | | Motion Transfer | ✅ | ❌ | ❌ | ❌ |


Tips for Best Results

  1. Topic Specificity — More specific topics yield better scripts
  2. Template Selection — Match template to content style
  3. Prompt Prefix — Use English prompt prefixes for consistent image style
  4. Voice Preview — Always preview TTS before generating full video
  5. Batch Generation — Generate 3-5 variants and pick the best


Conclusion

Pixelle-Video democratizes video creation by combining LLM, image generation, TTS, and video editing into a single automated pipeline. Whether you’re a content creator, educator, marketer, or developer, this tool can save hours of video production time.

The ComfyUI-based architecture means it"s not just a black-box tool — you can customize every component, swap models, and build your own video generation workflows.

Best for: Content creators, educators, marketers, developers who need quick video production

GitHub: https://github.com/AIDC-AI/Pixelle-Video



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Last updated: 2026-05-06

References & Sources