> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-comfy-docs-comfyapi-search.mintlify.site/llms.txt
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# Pixal3DConditioning - ComfyUI Built-in Node Documentation

> The Pixal3DConditioning node prepares image conditioning for the Trellis2 3D generation pipeline.

The Pixal3DConditioning node prepares image conditioning for the Trellis2 3D generation pipeline. It uses a DINOv3 vision model to extract visual features from the input image at two resolutions (512 and 1024), then organizes them into per-stage feature maps that can be optionally enhanced by a NAF model. Camera information is derived from the horizontal field of view to build the projection transform matrix, and the node outputs a positive conditioning pair (image-derived features plus projection data) and a negative conditioning pair (zeroed feature tensors) for classifier-free guidance.

## Inputs

| Parameter           | Description                                                                                                                                                                  | Data Type    | Required | Range                   |
| ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------ | -------- | ----------------------- |
| `clip_vision_model` | DINOv3 ViT-L/16 ClipVision.                                                                                                                                                  | CLIP\_VISION | Yes      | —                       |
| `image`             | Preprocessed image from ImageCropToMask (pad\_factor=1.1 for Pixal3D).                                                                                                       | IMAGE        | Yes      | —                       |
| `camera_angle_x`    | Horizontal FOV in degrees (displayed as `fov`). Wire a MoGeGeometryToFOV (axis='horizontal', unit='degrees') for a per-image FoV (matches upstream default). Default: 49.13. | FLOAT        | Yes      | 1.0 – 170.0 (step 0.01) |

## Outputs

| Output Name | Description                                                                                                             | Data Type    |
| ----------- | ----------------------------------------------------------------------------------------------------------------------- | ------------ |
| `positive`  | The positive conditioning output containing the image-derived feature maps and projection data for Trellis2 generation. | CONDITIONING |
| `negative`  | The negative conditioning output with zeroed feature tensors, used for classifier-free guidance.                        | CONDITIONING |

Note: The `camera_angle_x` value is converted from degrees to radians internally, and the camera distance is computed from it to build the projection transform matrix. When the supplied vision model includes a NAF component, the node also produces high-resolution feature maps for the shape and texture stages.

> 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/Pixal3DConditioning/en.md)

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