Creating an Uncensored Video Generator

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Uncensored Video Generator

A step-by-step guide to setting up Wan2.1 on your Windows computer to generate unrestricted AI videos locally.

120 minutes
Advanced

Create an Uncensored AI Video Generator on Windows Using Wan2.1

This step-by-step guide will walk you through setting up Wan2.1 to generate uncensored AI videos on your Windows workstation. We'll break the process down into easy-to-follow steps and include milestone tests to verify successful completion at each stage.

Why Generate Videos Locally?

Running AI video generation locally gives you complete control over the content you create, without the restrictions imposed by commercial platforms. You'll have privacy, unlimited generations, and the ability to customize the process to your exact specifications.

Step 1: Preparing Your Windows Environment

Ensure your system has the necessary tools and dependencies installed.

1.1 Install Python

Wan2.1 relies on Python to function properly.

Download Python:

Ensure Python is added to PATH:

  • Check the box labeled "Add Python to PATH" during installation.

✅ Milestone Test:

Open a terminal (Win + X → Terminal) and type:

python --version

If the Python version appears, the installation was successful.

1.2 Install Git

You'll need Git to clone the Wan2.1 repository.

Download Git:

Install Git:

  • Use default settings during installation.

✅ Milestone Test:

Verify Git installation:

git --version

If it outputs a version number, Git is correctly installed.

1.3 Install FFmpeg (For Video Processing)

FFmpeg is required for encoding and decoding video files.

Download FFmpeg:

Add FFmpeg to PATH:

  • Extract the downloaded archive.
  • Copy the bin folder path (e.g., C:\ffmpeg\bin).
  • Add this path to System Environment Variables:
    • Press Win + S, search for Environment Variables.
    • Under System Variables, find and edit Path.
    • Add the path to FFmpeg's bin folder.

✅ Milestone Test:

Confirm FFmpeg installation:

ffmpeg -version

If it shows version information, FFmpeg is correctly installed.

Step 2: Installing and Configuring Wan2.1

2.1 Clone the Wan2.1 Repository

Open a terminal and run the following commands:

cd C:\your\preferred\directory git clone https://github.com/Wan-Video/Wan2.1.git cd Wan2.1

✅ Milestone Test:

Ensure the Wan2.1 folder exists in your directory.

2.2 Set Up a Virtual Environment

A virtual environment isolates dependencies for the project.

python -m venv venv venv\Scripts\activate

✅ Milestone Test:

If your terminal shows (venv) at the beginning of the line, the environment is active.

2.3 Install Required Packages

pip install -r requirements.txt

✅ Milestone Test:

Ensure no errors are shown, and all packages install successfully.

2.4 Configure Settings

Customize config.json to fit your needs.

Open the config.json file in the Wan2.1 directory.

Modify key parameters (e.g., output directory, video format).

Example:

{
  "output_dir": "./output",
  "video_format": "mp4",
  "frame_rate": 30
}

Step 3: Generating Videos

3.1 Run Wan2.1

python main.py

✅ Milestone Test:

If the program starts without errors, your setup is correct.

3.2 Create a Simple Video

Use the following command to generate a test video:

python main.py --prompt "A futuristic city at sunset" --output test_video.mp4

✅ Milestone Test:

Check the output folder for test_video.mp4. Open the file to verify the generated video.

3.3 Advanced Video Generation

Experiment with different prompts and parameters:

python main.py --prompt "A dragon flying over mountains" --fps 60 --resolution 1920x1080

Common flags:

  • --prompt: Text description for video generation.
  • --fps: Frames per second (default: 30).
  • --resolution: Video resolution (e.g., 1920x1080).
  • --duration: Length of video in seconds.

Step 4: Optimizing Performance

4.1 Enable GPU Acceleration

Ensure CUDA is installed if you have an NVIDIA GPU.

Confirm CUDA installation:

nvcc --version

Modify config.json:

{
  "use_cuda": true
}

Restart the program:

python main.py

✅ Milestone Test:

Monitor your GPU usage using Task Manager (Ctrl + Shift + Esc) to ensure the GPU is being utilized.

4.2 Improve Output Quality

  • Increase --resolution for better clarity.
  • Adjust --fps for smoother motion.

Example:

python main.py --prompt "A space battle" --fps 60 --resolution 3840x2160

Step 5: Automating Video Generation

5.1 Schedule Automated Runs

You can schedule Wan2.1 to generate videos periodically using Windows Task Scheduler.

  • Open Task Scheduler (Win + S, search "Task Scheduler").
  • Create a Basic Task.
  • Set an action to run your Python script:
python C:\your\path\Wan2.1\main.py --prompt "A sunset over the ocean"

5.2 Batch Processing

For multiple videos, use a batch script:

Create a generate_videos.bat file:

@echo off python main.py --prompt "A rainy day in the city" --output rainy.mp4 python main.py --prompt "A jungle adventure" --output jungle.mp4 pause

Run the batch file by double-clicking it.

✅ Milestone Test:

Check the output folder for multiple generated videos.

Congratulations!

You have successfully set up Wan2.1 on your Windows workstation to create uncensored AI-generated videos. Experiment with prompts, tweak settings, and enjoy your video generation journey!

Happy creating! 🚀