> ## 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.

# OpticalFlowLoader - ComfyUI Built-in Node Documentation

> Loads an optical flow model from the models/opticalflow/ folder.

Loads an optical flow model from the `models/optical_flow/` folder. Currently, only torchvision's RAFT-large format is supported, which is the model used by the VOIDWarpedNoise node. ComfyUI does not download optical flow weights automatically; you must place the checkpoint file manually in the `models/optical_flow/` directory.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `model_name` | Optical flow model to load. Files must be placed in the `optical_flow` folder. Today only torchvision's `raft_large.pth` is supported. | COMBO | Yes | List of files in the `models/optical_flow/` folder |

Note: The selected checkpoint must be a torchvision RAFT-large state dict containing keys prefixed with `feature_encoder.`, `context_encoder.`, and `update_block.`. If the file does not match this format, the node raises a ValueError.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `OPTICAL_FLOW` | The loaded optical flow model, set to evaluation mode and float32 precision, wrapped in a ModelPatcher for use with other nodes. | OPTICAL\_FLOW |

> 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/OpticalFlowLoader/en.md)

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