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Specialized node enhancing text prompts for AI art by encoding with aesthetic scores, aligning images with desired style.
The SeargeSDXLRefinerPromptEncoder is a specialized node designed to enhance the quality and precision of text prompts used in AI art generation. This node refines the input prompts by encoding them with specific aesthetic scores and dimensions, ensuring that the generated images align closely with the desired artistic style and quality. By leveraging the capabilities of the SDXL CLIP text encoder, this node processes both positive and negative prompts, along with their respective styles, to produce refined conditioning outputs. This results in more accurate and visually appealing AI-generated artwork, making it an essential tool for AI artists seeking to fine-tune their creative outputs.
The ascore
parameter represents the aesthetic score assigned to the prompt. It influences the visual quality and style of the generated image. The default value is 6.0, with a minimum of 0.0 and a maximum of 1000.0. Adjusting this score can help achieve the desired artistic effect.
The width
parameter specifies the width of the image in pixels. The default value is 1024, with a minimum of 0 and a maximum defined by the system's maximum resolution. This parameter determines the horizontal dimension of the generated image.
The height
parameter specifies the height of the image in pixels. The default value is 1024, with a minimum of 0 and a maximum defined by the system's maximum resolution. This parameter determines the vertical dimension of the generated image.
The text
parameter is the input prompt text that will be encoded. It supports multiline and dynamic prompts, allowing for complex and detailed descriptions. This text forms the basis of the conditioning used to generate the image.
The clip
parameter refers to the CLIP model used for encoding the text. This model tokenizes and processes the input text to produce the conditioning outputs necessary for image generation.
The CONDITIONING
output is a tuple containing the encoded conditioning data. This includes the tokenized and processed text, pooled output, aesthetic score, and the specified dimensions (width and height). This conditioning data is used to guide the AI model in generating images that closely match the refined prompts.
ascore
values to see how they affect the visual style and quality of the generated images.width
and height
parameters to match the resolution requirements of your project, ensuring that the generated images fit your intended use case.ascore
parameter value is outside the allowed range (0.0 to 1000.0).ascore
value is within the specified range and try again.width
or height
exceeds the system's maximum resolution.width
and height
parameters to values within the allowed resolution limits.text
parameter is either empty or contains invalid characters.clip
parameter is missing or not properly specified.© Copyright 2024 RunComfy. All Rights Reserved.