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# TextGenerateLTX2Prompt - ComfyUI Built-in Node Documentation

> The TextGenerateLTX2Prompt node expands a short user prompt into a detailed, audio-visual description suitable for generating video with the LTX-2 series of video models.

The TextGenerateLTX2Prompt node expands a short user prompt into a detailed, audio-visual description suitable for generating video with the LTX-2 series of video models. It automatically adds task-specific system instructions, sends the formatted prompt to a language model, and returns the enhanced text. When an optional reference image is supplied, the node switches to image-to-video mode and expands the prompt starting from that image's content.

## Inputs

### Common Inputs

| Parameter              | Description                                                                                                                                                                                                                                                                          | Data Type      | Required | Range                                                             |
| ---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------- | -------- | ----------------------------------------------------------------- |
| `clip`                 | The CLIP model used for text encoding. The node checks the model's tokenizer name to select the matching instructions: Gemma 4 based models use the LTX-2.4 format, while other models use the LTX-2 (Gemma 3) format.                                                               | CLIP           | Yes      | -                                                                 |
| `prompt`               | The raw text input describing the scene or concept to be expanded into a detailed video generation prompt.                                                                                                                                                                           | STRING         | Yes      | -                                                                 |
| `image`                | An optional input image used as the first frame of the video. When provided, the node switches to image-to-video mode and uses a system prompt that expands the user prompt based on the image's content.                                                                            | IMAGE          | No       | -                                                                 |
| `video`                | An optional video input used as additional context. Passed to the language model as an image batch; assumed to be 24 FPS and subsampled to 1 FPS internally.                                                                                                                         | IMAGE          | No       | -                                                                 |
| `audio`                | An optional audio input that can be used as additional context for generation.                                                                                                                                                                                                       | AUDIO          | No       | -                                                                 |
| `max_length`           | The maximum number of tokens the language model is allowed to generate (default: 512).                                                                                                                                                                                               | INT            | Yes      | 1 to 32768                                                        |
| `sampling_mode`        | Controls whether random sampling is used during text generation. When set to `"on"`, the sampling parameters below become available; with `"off"` the node generates text without random sampling.                                                                                   | DYNAMIC\_COMBO | Yes      | `"on"`<br />`"off"`                                               |
| `thinking`             | When enabled, the model is instructed to reason before answering. Any reasoning block is removed from the returned output (default: False).                                                                                                                                          | BOOLEAN        | No       | True/False                                                        |
| `use_default_template` | When enabled, the node uses the default chat template for formatting (default: True). Advanced setting.                                                                                                                                                                              | BOOLEAN        | No       | True/False                                                        |
| `mtp`                  | Speculative decoding with the checkpoint's multi-token-prediction head. Has no effect without MTP weights. `"auto"` adapts the draft depth, `"2"` to `"5"` pin it. Sampled output stays correctly distributed but differs from non-MTP output for the same seed (default: `"auto"`). | COMBO          | No       | `"auto"`<br />`"off"`<br />`"2"`<br />`"3"`<br />`"4"`<br />`"5"` |

### Sampling Parameters (when `sampling_mode` is "on")

| Parameter            | Description                                                                                                                                 | Data Type | Required | Range                     |
| -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | --------- | -------- | ------------------------- |
| `temperature`        | Controls the randomness of the output. Lower values make the output more predictable, higher values make it more creative (default: 0.7).   | FLOAT     | Yes      | 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 (default: 64).                             | INT       | Yes      | 0 to 1000                 |
| `top_p`              | Uses nucleus sampling: it keeps the smallest set of most likely tokens whose cumulative probability reaches this value. (default: 0.95)     | FLOAT     | Yes      | 0.0 to 1.0                |
| `min_p`              | Sets a minimum probability threshold for tokens to be considered (default: 0.05).                                                           | FLOAT     | Yes      | 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 (default: 1.05).                  | FLOAT     | Yes      | 0.0 to 5.0                |
| `seed`               | A number used to initialize the random number generator for reproducible results (default: 0).                                              | INT       | Yes      | 0 to 18446744073709551615 |
| `presence_penalty`   | Penalizes new tokens based on whether they have appeared in the text so far, encouraging the model to talk about new topics (default: 0.0). | FLOAT     | No       | 0.0 to 5.0                |

**Note:** The sampling parameters above are only active and visible in the node interface when `sampling_mode` is set to "on". When it is set to "off", no sampling parameters are available and the node generates text without random sampling.

**Note:** The behavior of the node changes based on its inputs:

* If an `image` is provided, the generated prompt is formatted for an image-to-video task using a system prompt that describes how to expand the prompt based on the image's content. If no image is provided, the formatting is for a text-to-video task using a system prompt that expands the prompt into a detailed video generation description.
* If the CLIP tokenizer's name contains "gemma4", the node uses the LTX-2.4 system prompts and the Gemma 4 chat format. Otherwise, it uses the LTX-2 (Gemma 3) system prompts and chat format.
* When `thinking` is enabled with a Gemma 4 model, the model is opened on its reasoning channel; when disabled, the model is opened directly on the final-answer channel. For non-Gemma 4 models, `thinking` is passed through to the underlying generation step.
* If the language model produces no usable text after removing reasoning blocks, the node returns the original `prompt` instead.

## Outputs

| Output Name      | Description                                                                                                                                                          | Data Type |
| ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- |
| `generated_text` | The enhanced video-generation prompt produced by the language model, with any reasoning block removed. If the result is empty, the original user prompt is returned. | 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/TextGenerateLTX2Prompt/en.md)

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