> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-docs-custom-nodes-sdk-v2-frontend.mintlify.site/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                   |
| `azimuth`                   | The initial camera azimuth angle in degrees (default: 0.0)               | FLOAT        | Yes      | -180.0 to 180.0                   |
| `elevation_batch_increment` | The amount to increment elevation for each batch item (default: 0.0)     | FLOAT        | Yes      | -180.0 to 180.0                   |
| `azimuth_batch_increment`   | The amount to increment azimuth for each batch item (default: 0.0)       | FLOAT        | Yes      | -180.0 to 180.0                   |

**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)

***

**Source fingerprint (SHA-256):** `94fc53dace8f294a746c47f8aa0da145f3e7beeb77a95912a38f0037ac094292`