ComfyUI Node: Add CLIP SDXL Refiner Params

Add CLIP SDXL Refiner Params:

The BNK_AddCLIPSDXLRParams node is designed to enhance the conditioning data used in AI art generation by adding specific parameters related to image dimensions and aesthetic scoring. This node is particularly useful for refining the output of CLIP models by incorporating additional metadata that can influence the final generated image. By adjusting parameters such as width, height, and aesthetic score, you can fine-tune the conditioning data to better align with your artistic vision. This node is essential for advanced users who want to have more control over the conditioning parameters, thereby improving the quality and relevance of the generated images.

Add CLIP SDXL Refiner Params Input Parameters:

conditioning

This parameter represents the initial conditioning data that will be modified by the node. It is a required input and typically consists of a list of conditioning tuples that guide the AI model in generating images.

width

This integer parameter sets the width of the image. The default value is 1024, with a minimum of 0 and a maximum defined by MAX_RESOLUTION. Adjusting this parameter allows you to control the horizontal dimension of the generated image, which can be crucial for fitting specific display or print formats.

height

This integer parameter sets the height of the image. Similar to the width parameter, it has a default value of 1024, with a minimum of 0 and a maximum defined by MAX_RESOLUTION. Modifying this parameter lets you control the vertical dimension of the generated image, ensuring it meets your specific requirements.

ascore

This floating-point parameter represents the aesthetic score of the image. It has a default value of 6.0, with a range from 0.0 to 1000.0 and a step size of 0.01. The aesthetic score can influence the visual appeal of the generated image, allowing you to prioritize certain aesthetic qualities over others.

Add CLIP SDXL Refiner Params Output Parameters:

conditioning

The output is a modified version of the input conditioning data, now including the additional parameters for width, height, and aesthetic score. This enriched conditioning data is then used by the AI model to generate images that better match the specified criteria.

Add CLIP SDXL Refiner Params Usage Tips:

• To achieve a specific aspect ratio, make sure to adjust both the width and height parameters accordingly.
• Use the aesthetic score parameter to fine-tune the visual appeal of your generated images, especially if you are targeting a particular style or quality.

Add CLIP SDXL Refiner Params Common Errors and Solutions:

"Invalid width or height value"

• Explanation: This error occurs when the width or height parameter is set outside the allowed range.
• Solution: Ensure that the width and height values are within the range of 0 to MAX_RESOLUTION.

"Aesthetic score out of range"

• Explanation: This error happens when the aesthetic score is set below 0.0 or above 1000.0.
• Solution: Adjust the aesthetic score to be within the valid range of 0.0 to 1000.0.