ComfyUI > Nodes > Quality of life Suit:V2 > LatentUpscaleFactorSimple _O

ComfyUI Node: LatentUpscaleFactorSimple _O

Class Name

LatentUpscaleFactorSimple _O

Category
O/latent
Author
omar92 (Account age: 4561days)
Extension
Quality of life Suit:V2
Latest Updated
2024-06-03
Github Stars
0.12K

How to Install Quality of life Suit:V2

Install this extension via the ComfyUI Manager by searching for Quality of life Suit:V2
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Quality of life Suit:V2 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.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

LatentUpscaleFactorSimple _O Description

Efficiently upscale latent codes for high-resolution AI art with various methods and customization options.

LatentUpscaleFactorSimple _O:

The LatentUpscaleFactorSimple _O node is designed to upscale the latent code by multiplying the width and height by a specified factor. This node is particularly useful for AI artists who want to enhance the resolution of their latent representations without losing the integrity of the original image. By providing a simple and efficient method to upscale latent codes, this node helps in achieving higher resolution outputs, which can be crucial for detailed and high-quality AI-generated art. The node supports various upscale methods and cropping options, allowing for flexibility and customization based on the specific needs of your project.

LatentUpscaleFactorSimple _O Input Parameters:

samples

This parameter represents the latent code that you want to upscale. It is a required input and should be of the type LATENT. The latent code contains the encoded information of your image, which will be processed and upscaled by the node.

upscale_method

This parameter allows you to choose the method used for upscaling the latent code. The available options are nearest-exact, bilinear, and area. Each method has its own characteristics: nearest-exact is fast and simple, bilinear provides smoother results, and area is good for downscaling but can also be used for upscaling. The choice of method can impact the quality and speed of the upscaling process.

factor

This parameter specifies the factor by which the width and height of the latent code will be multiplied. It is a floating-point value with a default of 1.25, a minimum of 0.0, and a maximum of 10.0. The step size for this parameter is 0.28125. Adjusting this factor allows you to control the degree of upscaling, with higher values resulting in larger upscaled images.

crop

This parameter determines how the image will be cropped after upscaling. The available options are disabled and center. When disabled, no cropping is applied, and the entire upscaled image is retained. When center is selected, the image is cropped to the center, which can be useful for focusing on the main subject of the image.

LatentUpscaleFactorSimple _O Output Parameters:

LATENT

The output of this node is the upscaled latent code, which retains the type LATENT. This upscaled latent code can then be used in subsequent nodes or processes to generate higher resolution images. The upscaled latent code contains the enhanced resolution information, making it suitable for producing detailed and high-quality outputs.

LatentUpscaleFactorSimple _O Usage Tips:

  • To achieve the best results, experiment with different upscale_method options to see which one provides the desired quality for your specific project.
  • Adjust the factor parameter carefully, as very high values can lead to excessively large images that may be difficult to process or display.
  • Use the center crop option if you want to focus on the main subject of your image after upscaling, ensuring that the most important parts of the image are retained.

LatentUpscaleFactorSimple _O Common Errors and Solutions:

"ValueError: Invalid upscale method"

  • Explanation: This error occurs when an invalid upscale_method is provided.
  • Solution: Ensure that the upscale_method parameter is set to one of the following valid options: nearest-exact, bilinear, or area.

"ValueError: Factor out of range"

  • Explanation: This error occurs when the factor parameter is set to a value outside the allowed range (0.0 to 10.0).
  • Solution: Adjust the factor parameter to be within the valid range, ensuring it is between 0.0 and 10.0.

"RuntimeError: Cropping method not supported"

  • Explanation: This error occurs when an invalid crop method is provided.
  • Solution: Ensure that the crop parameter is set to one of the following valid options: disabled or center.

LatentUpscaleFactorSimple _O Related Nodes

Go back to the extension to check out more related nodes.
Quality of life Suit:V2
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.