ComfyUI > Nodes > RES4LYF > Set Precision Advanced

ComfyUI Node: Set Precision Advanced

Class Name

Set Precision Advanced

Category
RES4LYF/precision
Author
ClownsharkBatwing (Account age: 287days)
Extension
RES4LYF
Latest Updated
2025-03-08
Github Stars
0.09K

How to Install RES4LYF

Install this extension via the ComfyUI Manager by searching for RES4LYF
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter RES4LYF in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Set Precision Advanced Description

Adjust numerical precision of latent images in AI art projects, specifying 16, 32, or 64 bits for computational efficiency.

Set Precision Advanced:

The Set Precision Advanced node is designed to adjust the numerical precision of latent images within your AI art projects. This node allows you to specify the precision level—16, 32, or 64 bits—at which your latent image data is processed. By doing so, it provides flexibility in balancing computational efficiency and precision, which can be crucial for optimizing performance and resource usage in AI models. The node also offers an option to set the chosen precision as the default for subsequent operations, ensuring consistency across your workflow. This capability is particularly beneficial when working with large datasets or complex models, as it allows you to tailor the precision to your specific needs, potentially reducing memory usage and speeding up computations without significantly compromising the quality of the results.

Set Precision Advanced Input Parameters:

latent_image

The latent_image parameter represents the input data that the node will process. It is expected to be in a latent format, which is a compressed representation of the image data used in AI models. This parameter is crucial as it serves as the primary data source for the precision adjustment process. There are no specific minimum or maximum values for this parameter, as it depends on the data being processed.

precision

The precision parameter allows you to select the numerical precision level for processing the latent image. The available options are "16", "32", and "64", corresponding to 16-bit, 32-bit, and 64-bit floating-point precision, respectively. This choice impacts the balance between computational speed and accuracy, with lower precision offering faster processing and reduced memory usage, while higher precision provides more accurate results. The default value is "32", which is a common choice for balancing performance and precision.

set_default

The set_default parameter is a boolean option that determines whether the selected precision should be set as the default for future operations. When set to True, the chosen precision level will be applied to subsequent computations, ensuring consistency in processing. The default value is False, meaning the precision setting will only apply to the current operation unless explicitly changed.

Set Precision Advanced Output Parameters:

passthrough

The passthrough output parameter returns the processed latent image with the specified precision applied. This output is crucial as it represents the adjusted data that can be used in further stages of your AI art workflow. By ensuring the latent image is processed at the desired precision, you can maintain control over the computational resources and accuracy of your project.

Set Precision Advanced Usage Tips:

  • Consider using 16-bit precision for faster processing and reduced memory usage when working with large datasets or when high precision is not critical.
  • Use 64-bit precision for tasks that require high accuracy, such as detailed image analysis or when working with models sensitive to numerical precision.

Set Precision Advanced Common Errors and Solutions:

"AttributeError: 'NoneType' object has no attribute 'to'"

  • Explanation: This error occurs when the latent_image input is not properly provided or is None.
  • Solution: Ensure that the latent_image parameter is correctly set with valid data before executing the node.

"TypeError: 'precision' must be one of ['16', '32', '64']"

  • Explanation: This error indicates that an invalid precision value was provided.
  • Solution: Verify that the precision parameter is set to one of the allowed values: "16", "32", or "64".

Set Precision Advanced Related Nodes

Go back to the extension to check out more related nodes.
RES4LYF
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