mirror of
https://github.com/hanzoui/workflow-templates-broken-zap-2026-06-08.git
synced 2026-10-30 20:44:35 +00:00
1.1 KiB
1.1 KiB
T5TokenizerOptions
Category: _for_testing/conditioning
Description
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
The T5TokenizerOptions node allows you to configure tokenizer settings for various T5 model types. It sets minimum padding and minimum length parameters for multiple T5 model variants including t5xxl, pile_t5xl, t5base, mt5xl, and umt5xxl. The node takes a CLIP input and returns a modified CLIP with the specified tokenizer options applied.
Inputs
| Parameter | Type | Default | Description |
|---|---|---|---|
| clip | Clip | — | |
| min_padding | Int | 0 | |
| min_length | Int | 0 |
Outputs
| Output | Type |
|---|---|
| )], | |
| is_experimental=True, | |
| ) |
@classmethod
def execute(cls, clip, min_padding, min_length) -> io.NodeOutput:
clip = clip.clone( | Clip |
Source: comfy_extras/nodes_cond.py
Used in 1 template(s)