> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-feat-openapi-i18n.mintlify.site/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.

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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