1.6 KiB
1.6 KiB
Sage_DualCLIPTextEncode
Dual Prompt Encode
Encodes positive and negative prompts using a CLIP model, returning both conditionings and the input text with optional text cleaning.
Inputs
Required
- clip (CLIP): The CLIP model used for encoding the text
- clean (BOOLEAN): Clean up the text, getting rid of extra spaces, commas, etc. (default: False)
Optional
- pos (STRING): The positive prompt's text (multiline, supports dynamic prompts)
- neg (STRING): The negative prompt's text (multiline, supports dynamic prompts)
Outputs
- positive (CONDITIONING): Conditioning containing the embedded positive text used to guide the diffusion model
- negative (CONDITIONING): Conditioning containing the embedded negative text. If neg is not connected, it'll be automatically zeroed
- pos_text (STRING): The positive prompt text (cleaned if clean=True)
- neg_text (STRING): The negative prompt text (cleaned if clean=True)
Usage
Use to generate conditioning for both positive and negative prompts in workflows. Saves space over two separate CLIP Text Encoders, and automatically zeros any input not connected.
Notes
- More efficient than using two separate CLIP Text Encoder nodes
- Automatically handles unconnected inputs by zeroing the conditioning
- Text cleaning removes extra spaces, commas, and formatting issues
- Supports dynamic prompts for both positive and negative inputs
- Progress bar shows encoding progress for both prompts
- Part of "Sage Utils/clip" category for conditioning operations
- Returns both the conditioning tensors and the original text for further processing