> ## 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.

# StableZero123_Conditioning_Batched - ComfyUI Built-in Node Documentation

> The StableZero123ConditioningBatched node prepares conditioning data for generating a 3D model from a single input image.

The StableZero123\_Conditioning\_Batched node prepares conditioning data for generating a 3D model from a single input image. It encodes the image with a CLIP vision model and a VAE, combines the visual features with camera embeddings built from elevation and azimuth angles, and produces positive and negative conditioning plus a latent tensor for a batch of samples. When `batch_size` is greater than 1, the elevation and azimuth angles are increased by their batch increment values for each item in the batch.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `clip_vision` | The CLIP vision model used for encoding the input image | CLIP\_VISION | Yes | - |
| `init_image` | The initial input image to be processed and encoded | IMAGE | Yes | - |
| `vae` | The VAE model used for encoding image pixels into latent space | VAE | Yes | - |
| `width` | The output width for the processed image (default: 256) | INT | Yes | 16 to MAX\_RESOLUTION (step of 8) |
| `height` | The output height for the processed image (default: 256) | INT | Yes | 16 to MAX\_RESOLUTION (step of 8) |
| `batch_size` | The number of conditioning samples to generate in the batch (default: 1) | INT | Yes | 1 to 4096 |
| `elevation` | The initial camera elevation angle in degrees (default: 0.0) | FLOAT | Yes | -180.0 to 180.0 (step of 0.1) |
| `azimuth` | The initial camera azimuth angle in degrees (default: 0.0) | FLOAT | Yes | -180.0 to 180.0 (step of 0.1) |
| `elevation_batch_increment` | The amount to increment elevation for each batch item (default: 0.0). Marked as an advanced input. | FLOAT | Yes | -180.0 to 180.0 (step of 0.1) |
| `azimuth_batch_increment` | The amount to increment azimuth for each batch item (default: 0.0). Marked as an advanced input. | FLOAT | Yes | -180.0 to 180.0 (step of 0.1) |

**Note:** The `width` and `height` values must be multiples of 8, since the node divides these dimensions by 8 internally when building the latent tensor.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `positive` | The positive conditioning data containing the image embeddings and camera embeddings for each batch item | CONDITIONING |
| `negative` | The negative conditioning data with zero-initialized embeddings | CONDITIONING |
| `latent` | A zero-initialized latent tensor with dimensions batch\_size x 4 x height/8 x width/8, along with batch indexing information | 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/StableZero123_Conditioning_Batched/en.md)

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