Hunyuan Video in ComfyUI - Smaller and faster for amazing realistic videos done with AI

Introduction

This tutorial will guide you through setting up Hunyuan Video in ComfyUI, detailing how to optimize parameters for enhanced VRAM usage and faster generation speeds. Using powerful GPUs like the RTX 4090 and L40s in Runpod, you'll learn how to create realistic videos with AI efficiently.

Step 1: Setting Up ComfyUI in Runpod

1. Access Runpod

   • Use the link here to access Runpod.
   • Sign up or log in to your account.

2. Launch ComfyUI

   • Find the ComfyUI option in Runpod and select it to launch the environment.

3. Install Required Templates

   Choose the appropriate PyTorch template for your setup

   • For PyTorch 2.4, use this link.
   • For PyTorch 2.2, use this link.

Step 2: Adding Hunyuan Example Workflow

1. Access Hunyuan Workflow

   • Download the Hunyuan example workflow using this link.

2. Configure Workflow in ComfyUI

   • Follow the prompts in ComfyUI to integrate the workflow.
   • Ensure your setup matches the required specifications for Hunyuan.

Step 3: Understanding Hunyuan Video Testing

1. Purpose of Testing

   • The Hunyuan Video test evaluates how different prompts and settings affect video generation.

2. Applying Prompts

   • Experiment with various prompts to see how they affect output quality and speed.

Step 4: Optimizing Settings for Performance

1. Adjusting Resolution and Frame Count

   • Test different resolutions and frame counts to find the optimal balance between quality and speed.
   • Monitor how these settings impact VRAM usage.

2. Using Sampler Steps

   • Experiment with different sampler steps to enhance the video generation process.

Step 5: Reducing VRAM Usage

1. Implement FP8 Weights

   • Enable FP8 weights in ComfyUI to significantly reduce VRAM consumption.

2. Utilize GGUF Models

   • Download and install GGUF models from this link in the models/unet directory.

Step 6: Accelerating Video Sampling

1. Fast Video Method

   • Integrate the Kijay FastVideo Lora by downloading it from this link and placing it in the models/loras directory.

2. Torch Compilation

   • Use Torch compile to enhance execution speed. This step requires adjusting settings within ComfyUI.

3. Sage Attention

   • Activate Sage Attention to further improve video sampling speeds.

4. Caching Methods

   • Implement caching methods such as Tea Cache and Wave Speed First block to optimize rendering times.

Conclusion

By following these steps, you can effectively set up and optimize Hunyuan Video in ComfyUI, leading to faster video generation with reduced VRAM usage. Experiment with different settings and prompts to get the best results. For further exploration, consider delving into the various models and workflows available in the ComfyUI community.