> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# MakeTrainingDataset - ComfyUI Built-in Node Documentation

> Complete documentation for the MakeTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage.

> 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/MakeTrainingDataset/en.md)

This node prepares data for training by encoding images and text. It takes a list of images and a corresponding list of text captions, then uses a VAE model to convert the images into latent representations and a CLIP model to convert the text into conditioning data. The resulting paired latents and conditioning are output as lists, ready for use in training workflows.

## Inputs

| Parameter | Data Type | Required | Range | Description                                                                                                     |
| --------- | --------- | -------- | ----- | --------------------------------------------------------------------------------------------------------------- |
| `images`  | IMAGE     | Yes      | N/A   | List of images to encode.                                                                                       |
| `vae`     | VAE       | Yes      | N/A   | VAE model for encoding images to latents.                                                                       |
| `clip`    | CLIP      | Yes      | N/A   | CLIP model for encoding text to conditioning.                                                                   |
| `texts`   | STRING    | No       | N/A   | List of text captions. Can be length n (matching images), 1 (repeated for all), or omitted (uses empty string). |

**Parameter Constraints:**

* The number of items in the `texts` list must be 0, 1, or exactly match the number of items in the `images` list. If it is 0, an empty string is used for all images. If it is 1, that single text is repeated for all images.

## Outputs

| Output Name    | Data Type    | Description                 |
| -------------- | ------------ | --------------------------- |
| `latents`      | LATENT       | List of latent dicts.       |
| `conditioning` | CONDITIONING | List of conditioning lists. |