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"`<br>`"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 |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/en.md)

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