ComfyUI Extension: TensorRT Node for ComfyUI

ComfyUI_TensorRT Introduction

ComfyUI_TensorRT is an extension designed to optimize the performance of Stable Diffusion models on NVIDIA RTX™ Graphics Cards (GPUs) by leveraging NVIDIA TensorRT. This extension is particularly beneficial for AI artists who use Stable Diffusion for generating high-quality images and videos. By using TensorRT, ComfyUI_TensorRT can significantly speed up the processing time, allowing for faster and more efficient image and video generation.

Key Benefits:

• Enhanced Performance: Achieve the best performance on NVIDIA RTX GPUs.
• Support for Multiple Models: Compatible with various versions of Stable Diffusion, including SDXL and Stable Video Diffusion.
• Optimized Resource Usage: Efficiently manage GPU resources to handle large models and high-resolution outputs.

How ComfyUI_TensorRT Works

ComfyUI_TensorRT works by creating optimized TensorRT engines tailored to your specific NVIDIA RTX GPU. These engines are designed to maximize the performance of Stable Diffusion models by optimizing the way they run on your hardware.

Basic Principles:

1. TensorRT Engine Creation: The extension generates a TensorRT engine from a Stable Diffusion model checkpoint. This engine is optimized for your GPU, ensuring the best possible performance.
2. Dynamic and Static Engines: You can choose between dynamic engines, which support a range of resolutions and batch sizes, and static engines, which are optimized for a specific resolution and batch size.

Example:

Imagine you have a high-resolution image that you want to generate using Stable Diffusion. Without TensorRT, this process might take a significant amount of time. By using ComfyUI_TensorRT, the model is optimized to run faster on your GPU, reducing the time required to generate the image.

ComfyUI_TensorRT Features

Dynamic and Static Engines

• Dynamic Engines: These support a range of resolutions and batch sizes. They are flexible and can handle various input sizes, making them ideal for general use.
• Customization: Specify minimum, maximum, and optimal parameters for resolution and batch size.
• Static Engines: These are optimized for a single resolution and batch size, providing the best performance for specific use cases.
• Customization: Set a fixed resolution and batch size for consistent performance.

Model Support

• Stable Diffusion 1.5, 2.1, 3.0
• SDXL and SDXL Turbo
• Stable Video Diffusion and Stable Video Diffusion-XT
• AuraFlow

GPU Requirements

• General: NVIDIA RTX GPU
• SDXL and SDXL Turbo: 12 GB or more VRAM recommended
• Stable Video Diffusion: 16 GB or more VRAM recommended
• Stable Video Diffusion-XT: 24 GB or more VRAM recommended

ComfyUI_TensorRT Models

ComfyUI_TensorRT supports various models, each suited for different tasks and performance needs:

• Stable Diffusion 1.5, 2.1, 3.0: Standard models for image generation.
• SDXL and SDXL Turbo: Advanced models for higher quality and faster generation.
• Stable Video Diffusion: Models optimized for video generation.
• Stable Video Diffusion-XT: High-performance models for extensive video generation tasks.
• AuraFlow: Specialized models for unique artistic effects.

When to Use Each Model:

• Standard Models: Use for general image generation tasks.
• SDXL and SDXL Turbo: Use when you need higher quality images or faster generation times.
• Video Models: Use for creating videos, with SVD-XT being ideal for more complex and longer videos.

Troubleshooting ComfyUI_TensorRT

Common Issues and Solutions

1. TensorRT Engine Not Showing Up:

• Solution: Refresh the ComfyUI interface (F5) after creating a TensorRT engine.

2. Compatibility Issues with ControlNets or LoRAs:

• Solution: Currently, TensorRT engines are not compatible with ControlNets or LoRAs. This will be addressed in a future update.

3. High VRAM Usage:

• Solution: Use static engines if you frequently use a specific resolution and batch size, as they consume less VRAM compared to dynamic engines.

Frequently Asked Questions

• Q: How long does it take to generate a TensorRT engine?
• A: It can take anywhere from 3-10 minutes for image generation models and 10-25 minutes for Stable Video Diffusion. SVD-XT models may take up to an hour.
• Q: Can I use ComfyUI_TensorRT with non-RTX GPUs?
• A: No, ComfyUI_TensorRT is specifically optimized for NVIDIA RTX GPUs.

Learn More about ComfyUI_TensorRT

For additional resources, tutorials, and community support, you can explore the following:

• ComfyUI GitHub Repository: The main repository for ComfyUI, where you can find more information and updates.
• ComfyUI Manager: A tool to manage and install custom nodes for ComfyUI, including ComfyUI_TensorRT.
• Community Forums: Join discussions and ask questions on platforms like Reddit or dedicated AI art forums. By leveraging these resources, you can enhance your understanding and usage of ComfyUI_TensorRT, ensuring you get the most out of this powerful extension.