TextGenerate - ComfyUI Built-in Node Documentation

The TextGenerate node uses a CLIP model to create text based on a user’s prompt. It can optionally use images, video, or audio as additional context to guide the text generation. You can control the length of the output, enable a thinking mode for supported models, and choose whether to use random sampling with various settings or to generate text without sampling.

Inputs

Parameter	Description	Data Type	Required	Range
`clip`	The CLIP model used for tokenizing the prompt and generating text.	CLIP	Yes	N/A
`prompt`	The text prompt that guides the generation. This field supports multiple lines and dynamic prompts. The default value is an empty string.	STRING	Yes	N/A
`image`	An optional image that can be used alongside the text prompt to influence the generated text.	IMAGE	No	N/A
`video`	Video frames as an image batch. Assumed to be 24 FPS; subsampled to 1 FPS internally.	IMAGE	No	N/A
`audio`	An optional audio input that can be used alongside the text prompt to influence the generated text.	AUDIO	No	N/A
`max_length`	The maximum number of tokens the model will generate. The default value is 256.	INT	Yes	1 to 2048
`sampling_mode`	Controls whether random sampling is used during text generation. When set to “on”, additional parameters for controlling the sampling become available. The default is “on”.	COMBO	Yes	`"on"` `"off"`
`thinking`	Operate in thinking mode if the model supports it. The default value is False.	BOOLEAN	No	True or False
`use_default_template`	Use the built-in system prompt/template if the model has one. The default value is True. This is an advanced parameter.	BOOLEAN	No	True or False
`temperature`	Controls the randomness of the output. Lower values make the output more predictable, higher values make it more creative. This parameter is only available when `sampling_mode` is “on”. The default value is 0.7.	FLOAT	No	0.01 to 2.0
`top_k`	Limits the sampling pool to the top K most likely next tokens. A value of 0 disables this filter. This parameter is only available when `sampling_mode` is “on”. The default value is 64.	INT	No	0 to 1000
`top_p`	Uses nucleus sampling, limiting choices to tokens whose cumulative probability is less than this value. This parameter is only available when `sampling_mode` is “on”. The default value is 0.95.	FLOAT	No	0.0 to 1.0
`min_p`	Sets a minimum probability threshold for tokens to be considered. This parameter is only available when `sampling_mode` is “on”. The default value is 0.05.	FLOAT	No	0.0 to 1.0
`repetition_penalty`	Penalizes tokens that have already been generated to reduce repetition. A value of 1.0 applies no penalty. This parameter is only available when `sampling_mode` is “on”. The default value is 1.05.	FLOAT	No	0.0 to 5.0
`presence_penalty`	Penalizes new tokens based on whether they have appeared in the text so far, encouraging the model to talk about new topics. This parameter is only available when `sampling_mode` is “on”. The default value is 0.0.	FLOAT	No	0.0 to 5.0
`seed`	A number used to initialize the random number generator for reproducible results when sampling is “on”. The default value is 0.	INT	No	0 to 18446744073709551615

Note: The parameters temperature, top_k, top_p, min_p, repetition_penalty, presence_penalty, and seed are only active and visible in the node interface when the sampling_mode is set to “on”.

Outputs

Output Name	Description	Data Type
`generated_text`	The text generated by the model based on the input prompt and optional image, video, or audio.	STRING

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​Inputs

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Inputs

Outputs