workflow-templates-broken-zap-2026-06-08/site/knowledge/nodes/custom/CLIPTextEncodeFlux.md

CLIPTextEncodeFlux

Category: advanced/conditioning/flux

Description

CLIPTextEncodeFlux is an advanced text encoding node in Hanzo Studio, specifically designed for the Flux architecture. It uses a dual-encoder mechanism (CLIP-L and T5XXL) to process both structured keywords and detailed natural language descriptions, providing the Flux model with more accurate and comprehensive text understanding for improved text-to-image generation quality.

This node is based on a dual-encoder collaboration mechanism:

1. The clip_l input is processed by the CLIP-L encoder, extracting style, theme, and other keyword features—ideal for concise descriptions.
2. The t5xxl input is processed by the T5XXL encoder, which excels at understanding complex and detailed natural language scene descriptions.
3. The outputs from both encoders are fused, and combined with the guidance parameter to generate unified conditioning embeddings (CONDITIONING) for downstream Flux sampler nodes, controlling how closely the generated content matches the text description.

Inputs

Parameter	Type	Default	Description
clip	Clip	—
clip_l	String	—
t5xxl	String	—
guidance	Float	3.5

Outputs

Output	Type
),
],
)

@classmethod
def execute(cls, clip, clip_l, t5xxl, guidance) -> io.NodeOutput:
    tokens = clip.tokenize(clip_l | Conditioning |

Source: comfy_extras/nodes_flux.py

Used in 2 template(s)