ComfyUI Extension: DiffusionLight implementation for ComfyUI

DiffusionLight implementation for ComfyUI Introduction

ComfyUI-DiffusionLight is an extension designed to simplify the process of creating light probes using the DiffusionLight method. This extension is particularly useful for AI artists who want to estimate lighting in their images without needing extensive technical knowledge. By leveraging diffusion models, ComfyUI-DiffusionLight can generate high-quality chrome balls that help in estimating the lighting conditions of a scene. This can be especially beneficial for tasks such as object insertion, where accurate lighting is crucial for achieving realistic results.

How DiffusionLight implementation for ComfyUI Works

At its core, ComfyUI-DiffusionLight uses a technique that involves rendering a chrome ball into an input image. This chrome ball reflects the lighting conditions of the scene, which can then be used to estimate the light environment. The process is broken down into a few simple steps:

1. Inpainting the Chrome Ball: The extension first predicts a chrome ball in different exposure values and places it in the center of the image.
2. Projecting the Ball into an Environment Map: The chrome ball is then projected into a Low Dynamic Range (LDR) environment map.
3. Composing an HDR Image: Finally, multiple LDR environment maps are combined to create a High Dynamic Range (HDR) image, which provides a comprehensive light estimation. This method is effective because it leverages the relationship between the appearance of chrome balls and the initial diffusion noise map, allowing for consistent and high-quality light estimation.

DiffusionLight implementation for ComfyUI Features

ComfyUI-DiffusionLight comes with several features designed to make light estimation easy and effective:

• LoRA Integration: The extension includes a LoRA (Low-Rank Adaptation) model that has been fine-tuned to perform exposure bracketing for HDR light estimation. This model needs to be placed in the ComfyUI/loras folder.
• Example Workflows: The extension provides example workflows that demonstrate how to use the features effectively. These examples can be found in the examples folder.
• Customizable Settings: Users can adjust various settings to customize the light estimation process. For instance, different exposure values can be set to see how they affect the final HDR image.

Example Workflow

An example workflow is provided to help you get started. This workflow demonstrates the steps involved in creating a light probe using ComfyUI-DiffusionLight:

DiffusionLight implementation for ComfyUI Models

The extension uses a specific model that has been fine-tuned for the task of light estimation:

• Stable Diffusion XL with LoRA: This model is a fine-tuned version of the Stable Diffusion XL model, adapted to perform exposure bracketing for HDR light estimation. It is designed to handle diverse settings and generalize well to real-world scenarios.

What's New with DiffusionLight implementation for ComfyUI

The extension is regularly updated to improve its features and performance. Here are some of the recent updates:

• Initial Release: The first version of ComfyUI-DiffusionLight includes the core functionality for creating light probes using the DiffusionLight method.
• LoRA Model Integration: The integration of the LoRA model allows for more accurate and consistent light estimation.

Troubleshooting DiffusionLight implementation for ComfyUI

Here are some common issues you might encounter while using ComfyUI-DiffusionLight and how to solve them:

Common Issues and Solutions

1. LoRA Model Not Found:

• Solution: Ensure that the LoRA model is placed in the ComfyUI/loras folder. The model should be named correctly and be in the appropriate format.

2. Incorrect Chrome Ball Placement:

• Solution: Make sure the input image is resized to 1024x1024 and padded with a black border if it is not square. This ensures the chrome ball is placed correctly in the center.

3. Poor Light Estimation Quality:

• Solution: Experiment with different exposure values and ensure that the chrome ball is correctly projected into the environment map. Refer to the example workflows for guidance.

Frequently Asked Questions

• Q: Can I use my own models with ComfyUI-DiffusionLight?
• A: Currently, the extension is designed to work with the included LoRA model. Using other models may require additional adjustments.
• Q: How do I customize the exposure values?
• A: You can customize the exposure values by adjusting the settings in the example workflow. Refer to the provided examples for more details.

Learn More about DiffusionLight implementation for ComfyUI

To learn more about ComfyUI-DiffusionLight and how to use it effectively, you can explore the following resources:

• : Provides an overview of the DiffusionLight method and its applications.
• : Offers a detailed explanation of the research behind DiffusionLight.
• : An interactive Colab notebook to experiment with DiffusionLight.
• : Access the models and other resources related to DiffusionLight. By exploring these resources, you can gain a deeper understanding of how ComfyUI-DiffusionLight works and how to make the most of its features.