Mood Styler (Advanced)¶
Documentation¶
- Class name:
MoodStylerAdvanced - Category:
ali1234/stylers - Output node:
False
The MoodStylerAdvanced node is designed to enhance and stylize text prompts based on mood selections, offering advanced customization options for generating or modifying text in a way that reflects specific mood attributes. It leverages a comprehensive dataset of styles to apply nuanced changes to both positive and negative prompts, enabling users to tailor the mood of their generated content with precision.
Input types¶
Required¶
text_positive_g- The global positive text to be styled, serving as a base for mood-based enhancements. It plays a crucial role in defining the overall positive tone of the content.
- Comfy dtype:
STRING - Python dtype:
str
text_positive_l- The local positive text to be styled, allowing for fine-grained mood adjustments on a more specific level than the global positive text.
- Comfy dtype:
STRING - Python dtype:
str
text_negative- The negative text to be styled, which is transformed to reflect the selected mood in a manner that contrasts with the positive text.
- Comfy dtype:
STRING - Python dtype:
str
mood- unknown
- Comfy dtype:
COMBO[STRING] - Python dtype:
unknown
negative_prompt_to- Specifies the target mood for the negative text, guiding the transformation process to achieve the desired mood contrast.
- Comfy dtype:
COMBO[STRING] - Python dtype:
str
log_prompt- A boolean flag that, when enabled, logs the input and output prompts along with the selected mood styles for debugging or review purposes.
- Comfy dtype:
BOOLEAN - Python dtype:
bool
Output types¶
text_positive_g- Comfy dtype:
STRING - The global positive text after mood-based styling, reflecting the selected mood enhancements.
- Python dtype:
str
- Comfy dtype:
text_positive_l- Comfy dtype:
STRING - The local positive text after mood-based styling, showcasing the applied fine-grained mood adjustments.
- Python dtype:
str
- Comfy dtype:
text_positive- Comfy dtype:
STRING - A combined version of the styled positive text, incorporating both global and local enhancements.
- Python dtype:
str
- Comfy dtype:
text_negative_g- Comfy dtype:
STRING - The global negative text after mood-based styling, contrasting with the positive text by reflecting a different or opposing mood.
- Python dtype:
str
- Comfy dtype:
text_negative_l- Comfy dtype:
STRING - The local negative text after mood-based styling, providing detailed mood contrasts on a more specific level.
- Python dtype:
str
- Comfy dtype:
text_negative- Comfy dtype:
STRING - A combined version of the styled negative text, incorporating both global and local mood-based transformations.
- Python dtype:
str
- Comfy dtype:
Usage tips¶
- Infra type:
CPU - Common nodes: unknown