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tenser-tensor-ComfyUI-Tense…/web/docs/TT_Sd35TextEncoderNode.md

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TT SD3.5 Text Encoder TT_Sd35TextEncoderNode

This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.

Encodes text prompts for SD3.5 using all three text encoders (CLIP-L, CLIP-G, T5-XXL) and returns a configured Guider object ready for sampling.

Inputs

Parameter Type Required Description
model MODEL Yes SD3.5 diffusion model
clip CLIP Yes SD3.5 text encoders (CLIP-L, CLIP-G, T5-XXL)
cfg FLOAT No Classifier-free guidance scale. Default: 5.0
clip_l_positive STRING No Positive prompt for CLIP-L encoder
clip_g_positive STRING No Positive prompt for CLIP-G encoder
t5xxl_positive STRING No Positive prompt for T5-XXL encoder
clip_l_negative STRING No Negative prompt for CLIP-L encoder
clip_g_negative STRING No Negative prompt for CLIP-G encoder
t5xxl_negative STRING No Negative prompt for T5-XXL encoder
lora_triggers STRING No LoRA trigger words appended to positive prompts
width INT No Output width for resolution conditioning. Default: 512
height INT No Output height for resolution conditioning. Default: 512
target_width INT No Target width for resolution conditioning. Default: 512
target_height INT No Target height for resolution conditioning. Default: 512

Outputs

Parameter Type Description
GUIDER GUIDER Configured guider with encoded conditioning for sampler

Usage

Connect MODEL and CLIP from a SD3.5 models loader node. Connect GUIDER to a sampler node. Use different prompts per encoder for fine-grained control — T5-XXL handles long descriptive prompts best, CLIP-L and CLIP-G work better with short style tags.


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