# 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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