ComfyUI Node: Add CLIP SDXL Params

Add CLIP SDXL Params:

The BNK_AddCLIPSDXLParams node is designed to enhance the conditioning data used in advanced CLIP (Contrastive Language-Image Pretraining) models, specifically for the SDXL (Stable Diffusion XL) framework. This node allows you to add or modify parameters such as width, height, crop dimensions, and target dimensions to the conditioning data, which can be crucial for fine-tuning the model's performance and output quality. By adjusting these parameters, you can control the spatial attributes of the input data, ensuring that the model processes images and text with the desired resolution and cropping, ultimately leading to more accurate and aesthetically pleasing results.

Add CLIP SDXL Params Input Parameters:

conditioning

This parameter represents the initial conditioning data that the node will modify. It is a required input and typically consists of a list of tuples, where each tuple contains a text or image embedding and its associated metadata. The conditioning data is essential for guiding the model's output based on the provided context.

width

This parameter sets the width of the input data. It is an integer value with a default of 1024.0, a minimum of 0, and a maximum defined by MAX_RESOLUTION. Adjusting the width can impact the aspect ratio and resolution of the processed images, which is crucial for maintaining the quality and detail of the output.

height

This parameter sets the height of the input data. Similar to the width parameter, it is an integer value with a default of 1024.0, a minimum of 0, and a maximum defined by MAX_RESOLUTION. Modifying the height allows you to control the vertical resolution of the images, ensuring they meet the desired specifications.

crop_w

This parameter specifies the width of the crop area. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by MAX_RESOLUTION. The crop width determines the horizontal section of the image that will be used, which can be useful for focusing on specific areas of interest.

crop_h

This parameter specifies the height of the crop area. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by MAX_RESOLUTION. The crop height determines the vertical section of the image that will be used, allowing you to isolate and emphasize particular regions.

target_width

This parameter sets the target width for the output data. It is an integer value with a default of 1024.0, a minimum of 0, and a maximum defined by MAX_RESOLUTION. The target width is used to resize the processed images to the desired dimensions, ensuring consistency in the output.

target_height

This parameter sets the target height for the output data. It is an integer value with a default of 1024.0, a minimum of 0, and a maximum defined by MAX_RESOLUTION. The target height is used to resize the processed images to the desired dimensions, maintaining the aspect ratio and quality of the output.

Add CLIP SDXL Params Output Parameters:

conditioning

The output parameter is the modified conditioning data. It retains the original structure but includes the updated parameters such as width, height, crop dimensions, and target dimensions. This enhanced conditioning data is then used by the model to generate more accurate and contextually relevant outputs, improving the overall performance and quality of the results.

Add CLIP SDXL Params Usage Tips:

• Ensure that the width and height parameters are set according to the desired resolution of your output images to maintain quality.
• Use the crop_w and crop_h parameters to focus on specific areas of the input images, which can be useful for tasks requiring detailed attention to particular regions.
• Adjust the target_width and target_height parameters to standardize the dimensions of your output images, ensuring consistency across different runs.

Add CLIP SDXL Params Common Errors and Solutions:

Invalid value for width/height

• Explanation: The width or height value provided is outside the allowed range.
• Solution: Ensure that the width and height values are within the range of 0 to MAX_RESOLUTION.

Invalid value for crop_w/crop_h

• Explanation: The crop width or height value provided is outside the allowed range.
• Solution: Ensure that the crop width and height values are within the range of 0 to MAX_RESOLUTION.

Invalid value for target_width/target_height

• Explanation: The target width or height value provided is outside the allowed range.
• Solution: Ensure that the target width and height values are within the range of 0 to MAX_RESOLUTION.

Missing conditioning data

• Explanation: The conditioning data input is missing or not provided.
• Solution: Ensure that the conditioning data is correctly passed to the node as it is a required input.