ComfyUI Node: SUPIR Upscale (Legacy)

SUPIR Upscale (Legacy):

The SUPIR_Upscale node is designed to enhance the resolution of your images using advanced upscaling techniques. This node is particularly useful for AI artists who want to improve the quality and detail of their images without losing the original essence. By leveraging sophisticated algorithms, SUPIR_Upscale can effectively increase the size of your images while maintaining or even enhancing their visual quality. This node is ideal for tasks that require high-resolution outputs, such as printing, detailed artwork, or any scenario where image clarity is paramount.

SUPIR Upscale (Legacy) Input Parameters:

samples

This parameter represents the input image data that you want to upscale. It is of type LATENT, which means it works with latent representations of images. The quality and characteristics of the input samples will directly affect the upscaling results.

upscale_method

This parameter allows you to choose the method used for upscaling the image. The available options are nearest-exact, bilinear, area, bicubic, and lanczos. Each method has its own way of interpolating pixel values, which can affect the sharpness, smoothness, and overall quality of the upscaled image. For example, bicubic and lanczos are generally better for preserving details, while bilinear and area might be faster but less detailed.

scale_by

This parameter determines the factor by which the image will be upscaled. It is a floating-point value with a default of 1.5, a minimum of 0.01, and a maximum of 8.0. Adjusting this value allows you to control how much larger the output image will be compared to the input. For instance, a scale_by value of 2.0 will double the dimensions of the input image.

SUPIR Upscale (Legacy) Output Parameters:

LATENT

The output of the SUPIR_Upscale node is a latent representation of the upscaled image. This output retains the enhanced resolution and quality as specified by the input parameters. The latent format ensures that the image can be further processed or decoded into a visible format as needed.

SUPIR Upscale (Legacy) Usage Tips:

• For best results, choose the bicubic or lanczos upscale methods if you need to preserve fine details in your images.
• Experiment with different scale_by values to find the optimal balance between image size and quality for your specific use case.
• Use high-quality input samples to maximize the effectiveness of the upscaling process.

SUPIR Upscale (Legacy) Common Errors and Solutions:

Error: Invalid upscale method selected

• Explanation: This error occurs when an unsupported upscale method is chosen.
• Solution: Ensure that you select one of the following methods: nearest-exact, bilinear, area, bicubic, or lanczos.

Error: Scale factor out of range

• Explanation: This error happens when the scale_by value is set outside the allowed range of 0.01 to 8.0.
• Solution: Adjust the scale_by value to be within the specified range.

Error: Invalid input samples

• Explanation: This error indicates that the input samples are not in the expected LATENT format.
• Solution: Verify that your input data is correctly formatted as LATENT before passing it to the SUPIR_Upscale node.