File size: 1,918 Bytes
bd0acde
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
---
language: en
license: apache-2.0
tags:
  - lora
  - wan-2.2
  - distillation
  - comfyui
---

# Wan 2.2 Lightx2v 4-step distillation LoRAs

**Organization:** [WindstormLabs](https://huggingface.co/WindstormLabs)  
**Used by:** [SceneMachine](https://huggingface.co/SceneMachine)

SceneMachine is a sub-project of Windstorm Labs. This repo hosts shared AI/ML infrastructure used by SceneMachine and reusable by future Windstorm Labs sub-projects.

## What this is

Kijai's Lightx2v 4-step distillation LoRAs for Wan 2.2. Drops sampler from 30 steps to 4 with cfg=1.0 — 8.3× wallclock speedup measured on Wan Animate (844s → 102s/shot). Validated to transfer cleanly to Animate when paired with the correct embed chain + CLIP-ViT-H.

## Upstream source

Primary distribution: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22_Lightx2v + https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged

This repo is a **mirror**. License terms of the upstream apply unchanged.

**Primary license owner(s):** Kijai (LoRA) / Alibaba (base model Apache-2.0)

## Files

| Filename | Size |
|---|---|
| `wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors` | 1.23 GB |
| `Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_260412_rank_64_fp16.safetensors` | 0.63 GB |

**Total: 1.86 GB**

## Related repos

- The full SceneMachine model stack: search the [SceneMachine HF collection](https://huggingface.co/SceneMachine).
- Shared encoders and Wan VAE: [`WindstormLabs/wan22-encoders`](https://huggingface.co/WindstormLabs/wan22-encoders).
- Speed LoRAs: [`WindstormLabs/wan22-loras`](https://huggingface.co/WindstormLabs/wan22-loras).

## Provenance

Mirror created 2026-05-13 from local working copy on the SceneMachine development rig. Hashes preserved via HF's content-addressed storage.

🤖 Repo and README generated by [Claude Code](https://claude.com/claude-code) during a SceneMachine CTO session.