---
license: other
license_name: wan-community
base_model: Wan-AI/Wan2.1-FLF2V-14B-720P
library_name: diffusers
tags:
  - lora
  - video
  - image-to-video
  - wan
  - refvfx
---

# refVFX LoRA

LoRA adapter for [`Wan-AI/Wan2.1-FLF2V-14B-720P`](https://huggingface.co/Wan-AI/Wan2.1-FLF2V-14B-720P) trained to transfer a temporal visual effect from a *reference* video onto a separate input image or video.

## Files

| File | Description |
| --- | --- |
| `epoch-0.safetensors` | LoRA model. |

## Training

- **Base model:** `Wan-AI/Wan2.1-FLF2V-14B-720P`
- **LoRA rank:** 1024
- **Target modules:** `q, k, v, o, ffn.0, ffn.2` (applied to the DiT)
- **Learning rate:** 4e-5, 200-step linear warmup
- **Frames per clip:** 33
- **Max pixels:** 399,360
- **Optimizer parallelism:** DeepSpeed ZeRO-1, 8 ranks
- **CFG dropout:** `p_drop_ref = 0.05`, `p_drop_control_video = 0.05`

Trained on [`maxwelljones14/refVFX_dataset`](https://huggingface.co/datasets/maxwelljones14/refVFX_dataset) (code-based edits + neural V2V edits + I2V LoRA effects, sampled as triplets).

## Usage

Load the weights into a Wan2.1-FLF2V pipeline and inject them as a LoRA on the DiT (target modules above, `remove_prefix_in_ckpt="pipe.dit."`). See `infer_refvfx.py` in the [refVFX trainer repo](https://github.com/) for a reference implementation.

## License

Inherits the base-model license from `Wan-AI/Wan2.1-FLF2V-14B-720P`. Use is subject to its terms.