> ## 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.

# TripoSplatConditioning - ComfyUI Built-in Node Documentation

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

# TripoSplat Conditioning

This node encodes an input image using DINOv3 and the Flux2 VAE to create positive and negative conditioning data for the TripoSplat model. It also generates a fixed-size noise target (latent plus camera data) that serves as the starting point for the KSampler.

## Inputs

| Parameter     | Description                    | Data Type    | Required | Range |
| ------------- | ------------------------------ | ------------ | -------- | ----- |
| `clip_vision` | DINOv3 ViT-H/16+ image encoder | CLIP\_VISION | Yes      | -     |
| `vae`         | Flux2 VAE                      | VAE          | Yes      | -     |
| `image`       | The input image to encode      | IMAGE        | Yes      | -     |

## Outputs

| Output Name | Description                                                                                        | Data Type    |
| ----------- | -------------------------------------------------------------------------------------------------- | ------------ |
| `positive`  | Positive conditioning data containing DINOv3 features and Flux2 VAE latent                         | CONDITIONING |
| `negative`  | Negative conditioning data containing zero-filled DINOv3 features and zero-filled Flux2 VAE latent | CONDITIONING |
| `latent`    | The fixed size noise target (latent sequence plus camera token) for the KSampler                   | 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/TripoSplatConditioning/en.md)

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