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

## Outputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `positive` | Generates positive conditioning vectors, aiding in the model's positive feature reinforcement. | `CONDITIONING` |
| `negative` | Produces negative conditioning vectors, assisting in the model's avoidance of certain features. | `CONDITIONING` |
| `latent` | Creates latent representations, facilitating deeper model insights into the data. | `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/Stablezero123Conditioning/en.md)