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Fine-tune CLIP conditioning parameters for tailored AI art results.
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.
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
.
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.
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.
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.
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.
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.
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.
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.
width
and height
parameters in conjunction with target_width
and target_height
.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.MAX_RESOLUTION
or is set to a negative value.MAX_RESOLUTION
.crop_w
and crop_h
parameters to ensure they are within the bounds of the specified width and height.MAX_RESOLUTION
.MAX_RESOLUTION
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