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README.md
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---
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language: en
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license: apache-2.0
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tags:
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- lora
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- wan-2.2
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- distillation
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- comfyui
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---
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# Wan 2.2 Lightx2v 4-step distillation LoRAs
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**Organization:** [WindstormLabs](https://huggingface.co/WindstormLabs)
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**Used by:** [SceneMachine](https://huggingface.co/SceneMachine)
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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.
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## What this is
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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.
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## Upstream source
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Primary distribution: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22_Lightx2v + https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged
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This repo is a **mirror**. License terms of the upstream apply unchanged.
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**Primary license owner(s):** Kijai (LoRA) / Alibaba (base model Apache-2.0)
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## Files
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| Filename | Size |
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|---|---|
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| `wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors` | 1.23 GB |
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| `Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_260412_rank_64_fp16.safetensors` | 0.63 GB |
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**Total: 1.86 GB**
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## Related repos
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- The full SceneMachine model stack: search the [SceneMachine HF collection](https://huggingface.co/SceneMachine).
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- Shared encoders and Wan VAE: [`WindstormLabs/wan22-encoders`](https://huggingface.co/WindstormLabs/wan22-encoders).
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- Speed LoRAs: [`WindstormLabs/wan22-loras`](https://huggingface.co/WindstormLabs/wan22-loras).
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## Provenance
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Mirror created 2026-05-13 from local working copy on the SceneMachine development rig. Hashes preserved via HF's content-addressed storage.
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🤖 Repo and README generated by [Claude Code](https://claude.com/claude-code) during a SceneMachine CTO session.
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