> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-mintlify-b90d3c69.mintlify.site/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                   | Description                                                                                       | Data Type     |
| --------------------------- | ------------------------------------------------------------------------------------------------- | ------------- |
| `clip_vision`               | The CLIP vision embeddings that provide visual context for the conditioning process.              | `CLIP_VISION` |
| `init_image`                | The initial image to be conditioned upon, serving as a starting point for the generation process. | `IMAGE`       |
| `vae`                       | The variational autoencoder used for encoding and decoding images in the conditioning process.    | `VAE`         |
| `width`                     | The width of the output image.                                                                    | `INT`         |
| `height`                    | The height of the output image.                                                                   | `INT`         |
| `batch_size`                | The number of conditioning sets to be processed in a single batch.                                | `INT`         |
| `elevation`                 | The elevation angle for 3D model conditioning, affecting the perspective of the generated image.  | `FLOAT`       |
| `azimuth`                   | The azimuth angle for 3D model conditioning, affecting the orientation of the generated image.    | `FLOAT`       |
| `elevation_batch_increment` | The incremental change in elevation angle across the batch, allowing for varied perspectives.     | `FLOAT`       |
| `azimuth_batch_increment`   | The incremental change in azimuth angle across the batch, allowing for varied orientations.       | `FLOAT`       |

## Outputs

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

> 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/Stablezero123ConditioningBatched/en.md)