Composition Styler¶
Documentation¶
- Class name:
CompositionStyler - Category:
ali1234/stylers - Output node:
False
The CompositionStyler node dynamically applies styling to text prompts based on a selection of composition-related styles. It utilizes a predefined set of templates to modify and enhance the input text prompts, aiming to achieve a specific compositional aesthetic or effect.
Input types¶
Required¶
text_positive- The positive aspect of the text prompt to be styled. It plays a crucial role in determining the overall tone and direction of the styled output.
- Comfy dtype:
STRING - Python dtype:
str
text_negative- The negative aspect of the text prompt to be styled. It's used to contrast or negate certain elements of the positive prompt, contributing to a more nuanced and balanced output.
- Comfy dtype:
STRING - Python dtype:
str
composition- Specifies the composition-related style to apply to the text prompts. This selection influences the styling process, tailoring the output to achieve the desired compositional effect.
- Comfy dtype:
COMBO[STRING] - Python dtype:
str
log_prompt- A boolean flag indicating whether the prompt styling process should be logged. This aids in debugging and understanding how the selected styles are applied.
- Comfy dtype:
BOOLEAN - Python dtype:
bool
Output types¶
text_positive- Comfy dtype:
STRING - The styled version of the positive text prompt, reflecting the applied compositional styles.
- Python dtype:
str
- Comfy dtype:
text_negative- Comfy dtype:
STRING - The styled version of the negative text prompt, showcasing the effects of the applied styles in contrast or negation.
- Python dtype:
str
- Comfy dtype:
Usage tips¶
- Infra type:
CPU - Common nodes: unknown