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# StableZero123_Conditioning - ComfyUI Built-in Node Documentation

> Complete documentation for the StableZero123_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage.

The StableZero123\_Conditioning node processes an input image and camera angles to generate conditioning data and latent representations for 3D model generation. It uses a CLIP vision model to encode the image features, combines them with camera embedding information based on elevation and azimuth angles, and produces positive and negative conditioning along with a latent representation for downstream 3D generation tasks.

## Inputs

| Parameter     | Description                                                                        | Data Type    | Required | Range                 |
| ------------- | ---------------------------------------------------------------------------------- | ------------ | -------- | --------------------- |
| `clip_vision` | The CLIP vision model used to encode image features                                | CLIP\_VISION | Yes      | -                     |
| `init_image`  | The input image to be processed and encoded                                        | IMAGE        | Yes      | -                     |
| `vae`         | The VAE model used for encoding pixels to latent space                             | VAE          | Yes      | -                     |
| `width`       | Output width for the latent representation (default: 256, must be divisible by 8)  | INT          | Yes      | 16 to MAX\_RESOLUTION |
| `height`      | Output height for the latent representation (default: 256, must be divisible by 8) | INT          | Yes      | 16 to MAX\_RESOLUTION |
| `batch_size`  | Number of samples to generate in the batch (default: 1)                            | INT          | Yes      | 1 to 4096             |
| `elevation`   | Camera elevation angle in degrees (default: 0.0)                                   | FLOAT        | Yes      | -180.0 to 180.0       |
| `azimuth`     | Camera azimuth angle in degrees (default: 0.0)                                     | FLOAT        | Yes      | -180.0 to 180.0       |

**Note:** The `width` and `height` parameters must be divisible by 8 as the node automatically divides them by 8 to create the latent representation dimensions.

## Outputs

| Output Name | Description                                                                  | Data Type    |
| ----------- | ---------------------------------------------------------------------------- | ------------ |
| `positive`  | Positive conditioning data combining image features and camera embeddings    | CONDITIONING |
| `negative`  | Negative conditioning data with zero-initialized features                    | CONDITIONING |
| `latent`    | Latent representation with dimensions \[batch\_size, 4, height//8, width//8] | 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/en.md)

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