How to Install Hunyuan Video on Windows 11: Complete Step-by-Step Guide for Local AI Video Generation

Tencent’s Hunyuan Video stands as one of the most powerful open-source text-to-video and image-to-video models available in 2026. Running it locally on Windows 11 brings full control, zero recurring costs after setup, and complete data privacy.

This detailed guide covers everything needed to install and run Hunyuan Video successfully on a Windows PC, from hardware checks to troubleshooting common issues.

Whether aiming for photorealistic short clips or creative experiments, this setup delivers strong results on consumer hardware when using optimized quantized models.

Why Run Hunyuan Video Locally on Windows 11

Cloud services impose limits on generation length, resolution, and daily usage while charging per credit. Local installation removes these restrictions.

Users gain unlimited generations, full customization of workflows, and the ability to integrate outputs directly into editing software like CapCut or Premiere.

Hunyuan Video excels in motion realism, text rendering, and adherence to complex prompts. With Windows 11’s improved hardware acceleration and tools like ComfyUI, even users with mid-range GPUs can achieve viable performance through quantization and memory optimization techniques.

This guide focuses on the most reliable Windows-friendly method: ComfyUI with Kijai’s HunyuanVideoWrapper nodes, combined with FP8 or GGUF quantized models. This approach works on GPUs starting from 12GB VRAM and scales to higher-end cards.

Hardware Prerequisites and System Requirements

Success depends heavily on hardware. Here is a breakdown of recommended specifications:

Important Notes on VRAM Tiers:

• 12-16GB: Possible with heavy quantization (FP8/GGUF) and tiled decoding.
• 24GB: Comfortable for 720p-1080p generations.
• 40GB+: Ideal for higher resolutions and faster speeds.

Pagefile Configuration: Set Windows virtual memory to at least 64GB (or 1.5x system RAM) to prevent crashes during large model loading.

Preparing the Windows 11 Environment

Before installing any models, set up essential tools:

1. Update Windows 11 to the latest version.
2. Install the latest NVIDIA drivers from the official GeForce Experience or website.
3. Download and install Visual Studio Build Tools (C++ components) from Microsoft.
4. Install CUDA Toolkit 12.4 (or 11.8) from NVIDIA Developer site.
5. Install Anaconda or Miniconda for environment management.

These steps ensure compatibility with PyTorch and custom extensions.

Installing ComfyUI The Easiest Base for Hunyuan Video

ComfyUI provides the most stable Windows experience for Hunyuan Video:

• Download the portable ComfyUI version from the official GitHub.
• Extract to a convenient folder (e.g., C:\ComfyUI).
• Run run_nvidia_gpu.bat (or the appropriate startup file) to install base dependencies.
• Update ComfyUI to the latest version via the Manager.

Install the custom node: Search for ComfyUI-HunyuanVideoWrapper by Kijai in ComfyUI Manager and install it. Restart ComfyUI after installation.

Downloading the Right Model Weights (Avoiding Common Pitfalls)

Full precision models exceed 40GB and cause issues on Windows. Use quantized versions instead:

• Go to Hugging Face repositories such as Kijai or Comfy-Org for repackaged FP8 and GGUF models.
• Download split text encoders (CLIP and T5/LLavA variants) to reduce loading strain.
• Place files in the correct ComfyUI folders:
• Diffusion models → ComfyUI\models\diffusion_models
• Text encoders → ComfyUI\models\text_encoders
• VAE → ComfyUI\models\vae

This approach prevents Windows freezing at 99% during T5 encoder loading.

Step-by-Step Manual Setup Using Conda (Advanced Users)

For users preferring direct control:

1. Open Anaconda Prompt as administrator.
2. Create a new environment: conda create -n hunyuan python=3.10
3. Activate it: conda activate hunyuan
4. Install PyTorch with CUDA: Follow the official command for your CUDA version.
5. Clone required repositories and install dependencies with pip install -r requirements.txt.
6. Modify any Linux-specific scripts for Windows path compatibility (replace slashes where needed).
7. Launch ComfyUI from the environment.

Bypassing the T5 Text Encoder OOM Crash on Windows 11

The T5 encoder frequently causes out-of-memory errors. Solutions include:

• Use FP8-scaled or quantized text encoders.
• Add --cpu-offload flags in batch files or workflow nodes.
• Enable tiled VAE decoding with reduced tile size and overlap.
• Increase Windows pagefile size significantly.
• Close background applications before generation.

These adjustments allow stable operation on 16-24GB systems.

Generating Your First Video on Windows 11

After setup:

1. Load a Hunyuan workflow JSON in ComfyUI.
2. Select the quantized diffusion model.
3. Enter a detailed prompt (e.g., “A serene mountain lake at sunrise, gentle waves, cinematic lighting”).
4. Configure parameters: Resolution (720p recommended), steps (20-50), guidance scale (6-8).
5. Enable Hardware-Accelerated GPU Scheduling in Windows Graphics Settings for better performance.
6. Queue the prompt and monitor VRAM usage.

First generations may take 30-120 seconds depending on hardware. Subsequent runs are faster due to caching.

Optimizing Performance on Windows

• Enable “High Performance” power plan.
• Use Process Lasso or similar to prioritize ComfyUI.
• Experiment with lower temporal size in VAE nodes.
• Keep models on fast NVMe storage.

Troubleshooting Common Windows 11 Installation Errors

“Torch not compiled with CUDA”: Reinstall PyTorch with the correct CUDA index URL.

FlashAttention/Trident compilation errors: Install Visual Studio Build Tools and rerun setup.

Windows Defender blocking downloads: Add exclusions for the ComfyUI folder and Hugging Face cache.

OOM during loading: Reduce model precision, enable offloading, or close other GPU apps.

Slow generation: Lower resolution, use FP8 weights, and optimize tile settings.

Document each error and solution for future reference.

Pros and Cons of Running Hunyuan Video Locally

Pros:

• Unlimited free generations after initial setup.
• Full privacy and data control.
• High customization through ComfyUI workflows.
• Strong motion quality and prompt adherence.
• Integration with other local tools.

Cons:

• High hardware demands for best quality.
• Complex initial setup for beginners.
• Longer generation times on lower VRAM cards.
• Occasional need for technical troubleshooting.

Alternatives to Consider

If Hunyuan proves too demanding, evaluate options like LTX Video, Kling local forks, or Runway’s local alternatives. ComfyUI supports multiple models, allowing easy switching.

Final Thoughts

Installing Hunyuan Video on Windows 11 opens access to professional-grade local AI video generation. With careful hardware preparation, quantized models, and ComfyUI, users can create impressive content without cloud dependency.

Start with the ComfyUI + Kijai method for the smoothest experience. Patience during setup pays off with powerful creative freedom.

FAQs

What is the minimum GPU needed for Hunyuan Video on Windows 11?
At least 12GB VRAM with quantization; 24GB+ recommended for comfortable use.

Is Hunyuan Video completely free to run locally?
Yes, after downloading models, there are no ongoing costs.

Can it run on 16GB VRAM cards?
Yes, using FP8 models and tiled decoding with proper optimizations.

Does it support image-to-video generation?
Yes, dedicated I2V models and workflows are available.

How do I fix T5 encoder crashes?
Use quantized text encoders and enable CPU offloading.

Is Windows 11 better than Linux for this?
Windows works well with ComfyUI, though Linux offers slightly better raw performance in some cases.