Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1/README.md

[Lightx2V](https://github.com/ModelTC/LightX2V)

Please see [Wan2.2-Lightning](https://github.com/ModelTC/Wan2.2-Lightning) for the details of usage.

<!-- ![Lightx2V ComfyUI](https://github.com/ModelTC/LightX2V) -->

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# ComfyUI
[See kijai github](https://github.com/kijai/ComfyUI-WanVideoWrapper) for comfy ui workflows.

# Training details
High_noise_model and low_noise_model are distilled simultaneously. On 81x720x1280, 81x1280x720, 81x480x832, 81x832x480 size options.

# Tips on usage
In the distillation process, euler scheduler is used, with time_shift = 5. Specifically, the timesetps should be [1000.0000,  937.5001,  833.3333,  625.0000]

In inference, please set the scheduler accordingly. Besides, please set cfg = 1.0 so that NFE = 4 but not 8.