ComfyUI Node: ◎ Radiance HDR 360 Generate

◎ Radiance HDR 360 Generate:

The HDR360Generate node is designed to facilitate the creation and manipulation of high dynamic range (HDR) panoramic images. This node is particularly useful for AI artists and designers who wish to generate immersive 360-degree visual experiences. By leveraging advanced HDR techniques, the node allows for the adjustment of exposure and dynamic range, ensuring that the resulting images maintain rich detail and vibrant colors across a wide range of lighting conditions. The node's primary goal is to provide a seamless workflow for generating HDR panoramas that can be used in various creative projects, enhancing the visual depth and realism of digital environments.

◎ Radiance HDR 360 Generate Input Parameters:

image

The image parameter is the primary input for the HDR360Generate node, representing the HDR image data that will be processed. This parameter accepts a tensor format, which is a multi-dimensional array used to store the pixel values of the image. The image data should be in a format that supports HDR, allowing for a wide range of luminance values to be captured and processed. The quality and characteristics of the input image will directly impact the final output, so it is important to use high-quality HDR images to achieve the best results.

mode

The mode parameter determines the method of analysis applied to the HDR image. It offers different modes, such as "luminance," which focuses on the brightness levels within the image. The default mode is "luminance," but other modes may be available depending on the specific implementation. This parameter allows users to tailor the analysis to their specific needs, whether they are interested in examining brightness, color, or other aspects of the image.

show_clipping

The show_clipping parameter is a boolean option that, when enabled, highlights areas of the image where pixel values are clipped, either too low or too high. This is useful for identifying regions where detail may be lost due to overexposure or underexposure. The default value is True, meaning that clipping indicators are shown by default. This feature helps users ensure that their HDR images maintain detail across the entire dynamic range.

stops_range

The stops_range parameter specifies the range of stops used in the dynamic range analysis of the HDR image. It is an integer value with a default of 14, and it can be adjusted between a minimum of 8 and a maximum of 24. This parameter allows users to define the extent of the dynamic range they wish to analyze, providing flexibility in how the HDR image's luminance levels are evaluated and visualized.

◎ Radiance HDR 360 Generate Output Parameters:

histogram

The histogram output is a visual representation of the distribution of luminance values within the HDR image. It provides a graphical overview of how pixel brightness is spread across the image, helping users understand the dynamic range and exposure levels. The histogram is generated as an image tensor, which can be further analyzed or used in visual presentations.

stats

The stats output is a string that contains detailed statistical information about the HDR image. This includes metrics such as the minimum, maximum, and mean luminance values, as well as the dynamic range expressed in stops. Additionally, it provides information on the percentage of pixels that are clipped at the low and high ends of the luminance scale. This data is crucial for assessing the quality and characteristics of the HDR image.

◎ Radiance HDR 360 Generate Usage Tips:

• Ensure that the input image is in a high-quality HDR format to maximize the effectiveness of the node's analysis and output.
• Utilize the show_clipping parameter to identify and address any areas of the image where detail may be lost due to clipping.
• Adjust the stops_range parameter to focus on specific dynamic range areas of interest, allowing for more targeted analysis and visualization.

◎ Radiance HDR 360 Generate Common Errors and Solutions:

Error: "HDRHistogram error: <specific error message>"

• Explanation: This error occurs when there is an issue during the histogram analysis process, possibly due to incorrect input data or an internal processing error.
• Solution: Verify that the input image is in the correct format and contains valid HDR data. Check for any anomalies in the image data that might cause processing issues. If the problem persists, consult the node's documentation or support resources for further troubleshooting steps.