ComfyUI  >  Nodes  >  comfyui_bmab >  BMAB Upscale With Model

ComfyUI Node: BMAB Upscale With Model

Class Name

BMAB Upscale With Model

Category
BMAB/upscale
Author
portu-sim (Account age: 343 days)
Extension
comfyui_bmab
Latest Updated
6/9/2024
Github Stars
0.1K

How to Install comfyui_bmab

Install this extension via the ComfyUI Manager by searching for  comfyui_bmab
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfyui_bmab 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

BMAB Upscale With Model Description

Enhance image resolution using advanced machine learning models for high-quality upscaling without loss of detail.

BMAB Upscale With Model:

The BMAB Upscale With Model node is designed to enhance the resolution of images using advanced machine learning models. This node leverages pre-trained upscale models to intelligently increase the size of your images while preserving or even enhancing their quality. It is particularly useful for AI artists who need to upscale their artwork without losing detail or introducing artifacts. By using this node, you can achieve high-quality upscaling results that are superior to traditional methods, making it an essential tool for creating detailed and high-resolution images.

BMAB Upscale With Model Input Parameters:

model_name

This parameter specifies the name of the pre-trained upscale model to be used for enhancing the image resolution. The available models can be selected from a list provided by the system. Choosing the right model can significantly impact the quality of the upscaled image, as different models may be optimized for different types of images or styles.

scale

The scale parameter determines the factor by which the image will be upscaled. It is a floating-point value with a default of 2.0, a minimum of 0, and a maximum of 4.0. Adjusting this value allows you to control how much larger the output image will be compared to the input image. For example, a scale of 2.0 will double the dimensions of the image.

width

This parameter sets the target width of the upscaled image in pixels. It is an integer value with a default of 512, a minimum of 0, and a maximum defined by the system's maximum resolution. This allows you to specify the exact width you want for your upscaled image, providing precise control over the output dimensions.

height

Similar to the width parameter, the height parameter sets the target height of the upscaled image in pixels. It also has a default value of 512, a minimum of 0, and a maximum defined by the system's maximum resolution. This ensures that you can define the exact height for your upscaled image.

bind

This optional parameter allows you to bind the upscaling process to a specific BMAB bind object. This can be useful for maintaining consistency across multiple operations or for integrating the upscaling process into a larger workflow.

image

This optional parameter allows you to provide the image that you want to upscale. If not provided, the node will use the image from the bind object. This flexibility allows you to either directly input an image or use one that is already part of your workflow.

BMAB Upscale With Model Output Parameters:

BMAB bind

The BMAB bind output is a reference to the bind object used during the upscaling process. This allows you to maintain continuity in your workflow and use the upscaled image in subsequent operations without losing context.

image

The image output is the upscaled version of the input image. This high-resolution image is the result of applying the selected upscale model and specified parameters, providing you with a detailed and enhanced version of your original image.

BMAB Upscale With Model Usage Tips:

  • Experiment with different upscale models to find the one that best suits your image type and desired style.
  • Use the scale parameter to control the level of detail in the upscaled image; higher scales can reveal more details but may also require more processing power.
  • Ensure that the width and height parameters are set according to your final output requirements to avoid unnecessary resizing later in your workflow.

BMAB Upscale With Model Common Errors and Solutions:

Out of Memory (OOM) Exception

  • Explanation: This error occurs when the system runs out of memory while trying to process the image.
  • Solution: Reduce the tile size or the scale factor to lower the memory requirements. If the problem persists, consider using a machine with more memory.

Model Not Found

  • Explanation: This error occurs when the specified model name does not match any available models.
  • Solution: Ensure that the model name is correctly spelled and that the model is available in the system's list of upscale models.

Invalid Image Dimensions

  • Explanation: This error occurs when the specified width or height is outside the allowed range.
  • Solution: Adjust the width and height parameters to be within the minimum and maximum allowed values.

Image Not Provided

  • Explanation: This error occurs when no image is provided either directly or through the bind object.
  • Solution: Ensure that you provide an image either as an input parameter or through the bind object to proceed with the upscaling process.

BMAB Upscale With Model Related Nodes

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