Visit ComfyUI Online for ready-to-use ComfyUI environment
Specialized node for encoding textual prompts for AI models, enhancing content quality and coherence.
The CR SDXL Base Prompt Encoder is a specialized node designed to encode textual prompts into a format that can be effectively utilized by AI models, particularly those based on the SDXL architecture. This node plays a crucial role in transforming user-provided text into a structured representation that the model can understand and process. By leveraging this node, you can ensure that your prompts are accurately interpreted, leading to more precise and relevant outputs from the AI model. The primary goal of the CR SDXL Base Prompt Encoder is to enhance the quality and coherence of the generated content by providing a robust and reliable method for encoding textual inputs.
The text
parameter is a string input where you provide the textual prompt that you want to encode. This parameter supports multiline input and dynamic prompts, allowing for complex and detailed descriptions. The text you input here will be tokenized and encoded by the node, forming the basis for the model's understanding and subsequent output generation.
The ascore
parameter is a floating-point value that represents the aesthetic score of the prompt. This score can influence the model's output by emphasizing certain aesthetic qualities. The default value is 6.0, with a minimum of 0.0 and a maximum of 1000.0. Adjusting this score can help fine-tune the visual or stylistic aspects of the generated content.
The width
parameter is an integer that specifies the width of the output image. This parameter helps define the resolution of the generated content, ensuring it meets your specific requirements. The default value is 1024, with a minimum of 0 and a maximum defined by the MAX_RESOLUTION
constant.
The height
parameter is an integer that specifies the height of the output image. Similar to the width parameter, it helps define the resolution of the generated content. The default value is 1024, with a minimum of 0 and a maximum defined by the MAX_RESOLUTION
constant.
The clip
parameter is a reference to the CLIP model used for encoding the text. This parameter is essential for the node to function, as it provides the necessary model architecture and weights for the encoding process.
The CONDITIONING
output is a structured representation of the encoded text prompt. This output includes the encoded tokens, pooled output, aesthetic score, width, and height. It serves as the input for subsequent nodes in the AI model pipeline, ensuring that the textual prompt is accurately interpreted and utilized for content generation.
ascore
values to see how they affect the aesthetic quality of the generated content. Higher scores may emphasize certain stylistic elements more strongly.width
and height
parameters to match the desired resolution of your output images. Keep in mind the maximum resolution supported by your model.ascore
value provided is outside the allowed range of 0.0 to 1000.0.ascore
value to be within the specified range. The default value is 6.0, which is a good starting point.width
or height
value exceeds the maximum resolution supported by the model.width
and height
values to be within the allowed maximum resolution. Check the MAX_RESOLUTION
constant for the specific limit.clip
parameter is missing or not correctly referenced.clip
parameter. This is essential for the encoding process to work correctly.© Copyright 2024 RunComfy. All Rights Reserved.