ComfyUI  >  Nodes  >  ComfyUI-ppm >  CLIPMicroConditioning

ComfyUI Node: CLIPMicroConditioning

Class Name

CLIPMicroConditioning

Category
conditioning
Author
pamparamm (Account age: 2160 days)
Extension
ComfyUI-ppm
Latest Updated
7/19/2024
Github Stars
0.0K

How to Install ComfyUI-ppm

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

CLIPMicroConditioning Description

Fine-tune CLIP conditioning parameters for tailored AI art results.

CLIPMicroConditioning:

The CLIPMicroConditioning node is designed to fine-tune conditioning parameters for CLIP (Contrastive Language-Image Pre-Training) models, allowing you to adjust various aspects of the conditioning process to better suit your specific needs. This node is particularly useful for AI artists who want to have more control over the conditioning parameters, such as image dimensions and cropping, to achieve more precise and tailored results. By providing a method to set these values, the CLIPMicroConditioning node helps in optimizing the conditioning process, ensuring that the generated outputs are aligned with your artistic vision.

CLIPMicroConditioning Input Parameters:

cond

This parameter represents the initial conditioning data that will be fine-tuned. It is essential as it forms the base upon which all other adjustments are made. The type for this parameter is CONDITIONING.

width

This parameter sets the width of the image for conditioning. It allows you to specify the desired width, with a default value of 1024.0. The minimum value is 0, and the maximum value is determined by MAX_RESOLUTION. Adjusting this parameter impacts the horizontal dimension of the conditioned image.

height

This parameter sets the height of the image for conditioning. Similar to the width parameter, it allows you to specify the desired height, with a default value of 1024.0. The minimum value is 0, and the maximum value is determined by MAX_RESOLUTION. Adjusting this parameter impacts the vertical dimension of the conditioned image.

crop_w

This parameter specifies the width of the crop area within the image. It allows you to define how much of the image's width should be cropped, with a default value of 0. The minimum value is 0, and the maximum value is determined by MAX_RESOLUTION. This parameter is useful for focusing on specific parts of the image.

crop_h

This parameter specifies the height of the crop area within the image. It allows you to define how much of the image's height should be cropped, with a default value of 0. The minimum value is 0, and the maximum value is determined by MAX_RESOLUTION. This parameter is useful for focusing on specific parts of the image.

target_width

This parameter sets the target width for the final conditioned image. It allows you to specify the desired width after any cropping has been applied, with a default value of 1024.0. The minimum value is 0, and the maximum value is determined by MAX_RESOLUTION. This helps in resizing the image to the desired dimensions.

target_height

This parameter sets the target height for the final conditioned image. It allows you to specify the desired height after any cropping has been applied, with a default value of 1024.0. The minimum value is 0, and the maximum value is determined by MAX_RESOLUTION. This helps in resizing the image to the desired dimensions.

CLIPMicroConditioning Output Parameters:

CONDITIONING

The output parameter is the fine-tuned conditioning data. This data incorporates all the adjustments made through the input parameters, resulting in a conditioned image that meets the specified dimensions and cropping requirements. This output is crucial for further processing or generating final outputs that align with your artistic goals.

CLIPMicroConditioning Usage Tips:

  • To achieve a specific aspect ratio, carefully adjust the width and height parameters in conjunction with target_width and target_height.
  • Use the crop_w and crop_h parameters to focus on specific areas of the image, which can be particularly useful for highlighting important details or removing unwanted sections.

CLIPMicroConditioning Common Errors and Solutions:

"Invalid width or height value"

  • Explanation: This error occurs when the specified width or height exceeds the MAX_RESOLUTION or is set to a negative value.
  • Solution: Ensure that the width and height values are within the allowed range, with a minimum of 0 and a maximum defined by MAX_RESOLUTION.

"Crop dimensions exceed image dimensions"

  • Explanation: This error occurs when the crop width or height is larger than the specified image dimensions.
  • Solution: Adjust the crop_w and crop_h parameters to ensure they are within the bounds of the specified width and height.

"Target dimensions exceed maximum resolution"

  • Explanation: This error occurs when the target width or height exceeds the MAX_RESOLUTION.
  • Solution: Ensure that the target width and height values are within the allowed range, with a maximum defined by MAX_RESOLUTION.

CLIPMicroConditioning Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-ppm
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.