> ## 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.

# Stablezero123ConditioningBatched - ComfyUI Built-in Node Documentation

> Complete documentation for the Stablezero123ConditioningBatched node in ComfyUI. Learn its inputs, outputs, parameters and usage.

This node is designed to process conditioning information in a batched manner specifically tailored for the StableZero123 model. It focuses on efficiently handling multiple sets of conditioning data simultaneously, optimizing the workflow for scenarios where batch processing is crucial.

## Inputs

| Parameter                   | Data Type     | Description                                                                                       |
| --------------------------- | ------------- | ------------------------------------------------------------------------------------------------- |
| `clip_vision`               | `CLIP_VISION` | The CLIP vision embeddings that provide visual context for the conditioning process.              |
| `init_image`                | `IMAGE`       | The initial image to be conditioned upon, serving as a starting point for the generation process. |
| `vae`                       | `VAE`         | The variational autoencoder used for encoding and decoding images in the conditioning process.    |
| `width`                     | `INT`         | The width of the output image.                                                                    |
| `height`                    | `INT`         | The height of the output image.                                                                   |
| `batch_size`                | `INT`         | The number of conditioning sets to be processed in a single batch.                                |
| `elevation`                 | `FLOAT`       | The elevation angle for 3D model conditioning, affecting the perspective of the generated image.  |
| `azimuth`                   | `FLOAT`       | The azimuth angle for 3D model conditioning, affecting the orientation of the generated image.    |
| `elevation_batch_increment` | `FLOAT`       | The incremental change in elevation angle across the batch, allowing for varied perspectives.     |
| `azimuth_batch_increment`   | `FLOAT`       | The incremental change in azimuth angle across the batch, allowing for varied orientations.       |

## Outputs

| Parameter  | Data Type      | Description                                                                                                        |
| ---------- | -------------- | ------------------------------------------------------------------------------------------------------------------ |
| `positive` | `CONDITIONING` | The positive conditioning output, tailored for promoting certain features or aspects in the generated content.     |
| `negative` | `CONDITIONING` | The negative conditioning output, tailored for demoting certain features or aspects in the generated content.      |
| `latent`   | `LATENT`       | The latent representation derived from the conditioning process, ready for further processing or generation steps. |