> ## 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.

# Stablezero123Conditioning - ComfyUI Built-in Node Documentation

> Complete documentation for the Stablezero123Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage.

This node is designed to process and condition data for use in StableZero123 models, focusing on preparing the input in a specific format that is compatible and optimized for these models.

## Inputs

| Parameter     | Comfy dtype   | Description                                                                                                          |
| ------------- | ------------- | -------------------------------------------------------------------------------------------------------------------- |
| `clip_vision` | `CLIP_VISION` | Processes visual data to align with the model's requirements, enhancing the model's understanding of visual context. |
| `init_image`  | `IMAGE`       | Serves as the initial image input for the model, setting the baseline for further image-based operations.            |
| `vae`         | `VAE`         | Integrates variational autoencoder outputs, facilitating the model's ability to generate or modify images.           |
| `width`       | `INT`         | Specifies the width of the output image, allowing for dynamic resizing according to model needs.                     |
| `height`      | `INT`         | Determines the height of the output image, enabling customization of the output dimensions.                          |
| `batch_size`  | `INT`         | Controls the number of images processed in a single batch, optimizing computational efficiency.                      |
| `elevation`   | `FLOAT`       | Adjusts the elevation angle for 3D model rendering, enhancing the model's spatial understanding.                     |
| `azimuth`     | `FLOAT`       | Modifies the azimuth angle for 3D model visualization, improving the model's perception of orientation.              |

## Outputs

| Parameter  | Data Type      | Description                                                                                     |
| ---------- | -------------- | ----------------------------------------------------------------------------------------------- |
| `positive` | `CONDITIONING` | Generates positive conditioning vectors, aiding in the model's positive feature reinforcement.  |
| `negative` | `CONDITIONING` | Produces negative conditioning vectors, assisting in the model's avoidance of certain features. |
| `latent`   | `LATENT`       | Creates latent representations, facilitating deeper model insights into the data.               |