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Enhance AI art generation with region-specific prompts using color masks for precise creative control.
The RegionalPromptColorMask __Inspire node is designed to enhance your AI art generation by allowing you to apply specific prompts to distinct regions of an image based on color masks. This node enables you to define areas within your artwork where particular prompts should be applied, providing greater control and precision in the creative process. By using color masks, you can isolate regions and apply different conditioning or prompts, resulting in more detailed and varied outputs. This method is particularly beneficial for artists looking to create complex compositions with multiple elements that require distinct stylistic or thematic treatments.
The color_mask
parameter expects an image input that serves as the base for defining different regions within your artwork. Each color in this image represents a different region where specific prompts will be applied. This parameter is crucial for segmenting your image and ensuring that the prompts are applied accurately to the intended areas.
The mask_color
parameter is a string that specifies the color used to identify the region within the color_mask
image. The default value is #FFFFFF
, but you can change it to any valid color code. This parameter helps in isolating the specific region where the prompt will be applied, ensuring precise control over the conditioning process.
The embeds
parameter requires embeddings that will be used in the conditioning process. These embeddings are essential for defining the stylistic or thematic elements that will be applied to the specified region. This parameter allows you to incorporate complex and nuanced conditioning into your artwork.
The weight
parameter is a float value that determines the strength of the conditioning applied to the specified region. It ranges from -1 to 3, with a default value of 0.7. Adjusting this parameter allows you to control the intensity of the prompt's influence on the region, providing flexibility in achieving the desired artistic effect.
The weight_type
parameter offers options for how the weight is applied. The available options are original
, linear
, and channel penalty
. This parameter allows you to choose the method that best suits your artistic needs, providing different ways to modulate the conditioning strength.
The start_at
parameter is a float value that specifies the starting point of the conditioning application within the region. It ranges from 0.0 to 1.0, with a default value of 0.0. This parameter helps in defining the temporal aspect of the conditioning, allowing for gradual application.
The end_at
parameter is a float value that indicates the endpoint of the conditioning application within the region. It ranges from 0.0 to 1.0, with a default value of 1.0. This parameter works in conjunction with start_at
to control the duration of the conditioning effect.
The unfold_batch
parameter is a boolean that determines whether the conditioning should be applied in a batch-wise manner. The default value is False
. This parameter is useful for managing the conditioning process, especially when working with multiple regions or complex compositions.
The neg_embeds
parameter is optional and allows you to provide negative embeddings that can counteract or balance the primary conditioning. This parameter adds an extra layer of control, enabling you to fine-tune the artistic output by mitigating unwanted effects.
The REGIONAL_IPADAPTER
output is a specialized conditioning object that encapsulates the applied prompts and settings for the specified region. This output is essential for integrating the regional conditioning into your overall artwork, ensuring that the specified prompts are accurately applied to the designated areas.
The MASK
output is the processed mask that corresponds to the specified mask_color
within the color_mask
image. This output is crucial for visualizing and verifying the regions where the prompts have been applied, providing a clear reference for further adjustments or refinements.
color_mask
image to ensure precise region segmentation.weight
values to find the optimal conditioning strength for each region.start_at
and end_at
parameters to create dynamic and temporal conditioning effects within your artwork.neg_embeds
to balance or counteract the primary conditioning, especially when working with complex compositions.mask_color
parameter is not a valid color code.mask_color
is a valid hexadecimal color code (e.g., #FFFFFF
) or a valid integer representing an RGB color.embeds
parameter are missing or not properly loaded.weight
parameter is set outside the allowed range.weight
value is within the range of -1 to 3.color_mask
and mask_color
parameters.color_mask
image and mask_color
value for correctness and compatibility.© Copyright 2024 RunComfy. All Rights Reserved.