ComfyUI Node: SDXL Prompt Encoder (Searge)

SDXL Prompt Encoder (Searge):

The SeargeSDXLPromptEncoder is a specialized node designed to encode textual prompts into a format that can be effectively utilized by the SDXL (Stable Diffusion XL) model. This encoder supports both base and refiner prompts, ensuring that your input text is transformed into a high-quality, model-ready representation. By leveraging the SDXL CLIP Text Encoder, this node enhances the interpretability and richness of your prompts, allowing for more nuanced and detailed image generation. Whether you are working with primary prompts or refining existing ones, the SeargeSDXLPromptEncoder ensures that your textual inputs are optimally encoded for the best possible output from the SDXL model.

SDXL Prompt Encoder (Searge) Input Parameters:

prompt_text

This parameter accepts the textual prompt that you wish to encode. The prompt text serves as the primary input for the encoder, which processes and converts it into a format suitable for the SDXL model. The quality and specificity of the prompt text directly impact the resulting encoded representation, so it is advisable to use clear and descriptive language. There are no strict minimum or maximum length requirements, but more detailed prompts can lead to richer encoded outputs.

base_clip

This parameter refers to the base CLIP model used for encoding the prompt. The base_clip model is essential for generating the initial encoded representation of the prompt text. It ensures that the text is transformed into a high-dimensional vector that the SDXL model can interpret. The choice of base_clip can influence the style and characteristics of the encoded output.

pos_scale

This parameter determines the scaling factor for the positive aspects of the prompt. It adjusts the emphasis placed on the positive elements during encoding. A higher pos_scale value increases the weight of positive features, making them more prominent in the encoded representation. The typical range for pos_scale is from 0.1 to 2.0, with a default value of 1.0.

neg_scale

This parameter sets the scaling factor for the negative aspects of the prompt. It modulates the influence of negative elements during the encoding process. A higher neg_scale value amplifies the negative features, making them more significant in the encoded output. The usual range for neg_scale is from 0.1 to 2.0, with a default value of 1.0.

cond_scale

This parameter controls the conditioning scale, which affects the overall scaling of the encoded representation. It ensures that the encoded prompt is appropriately scaled to match the dimensions required by the SDXL model. The cond_scale typically ranges from 0.5 to 1.5, with a default value of 1.0.

target_scale

This parameter specifies the target scaling factor for the encoded prompt. It adjusts the final dimensions of the encoded representation to align with the target requirements of the SDXL model. The target_scale usually ranges from 0.5 to 1.5, with a default value of 1.0.

SDXL Prompt Encoder (Searge) Output Parameters:

encoded_prompt

The encoded_prompt is the primary output of the SeargeSDXLPromptEncoder. It is a high-dimensional vector representation of the input prompt text, transformed by the SDXL CLIP Text Encoder. This encoded representation is ready for use by the SDXL model, ensuring that the textual prompt is accurately and effectively interpreted for image generation. The quality of the encoded_prompt directly influences the fidelity and detail of the generated images.

SDXL Prompt Encoder (Searge) Usage Tips:

• Ensure that your prompt text is clear and descriptive to achieve a high-quality encoded representation.
• Experiment with different values for pos_scale and neg_scale to fine-tune the emphasis on positive and negative aspects of your prompt.
• Use the default values for cond_scale and target_scale initially, and adjust them if you notice any discrepancies in the encoded output dimensions.

SDXL Prompt Encoder (Searge) Common Errors and Solutions:

"Invalid prompt text input"

• Explanation: The prompt text provided is either empty or not in a valid format.
• Solution: Ensure that you provide a non-empty, well-formed textual prompt.

"Base CLIP model not found"

• Explanation: The specified base_clip model is not available or incorrectly referenced.
• Solution: Verify that the base_clip model is correctly specified and available in the system.

"Scaling factor out of range"

• Explanation: One of the scaling parameters (pos_scale, neg_scale, cond_scale, target_scale) is set outside the acceptable range.
• Solution: Adjust the scaling parameters to fall within their respective valid ranges (typically 0.1 to 2.0 for pos_scale and neg_scale, and 0.5 to 1.5 for cond_scale and target_scale).