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README.md
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license: mit
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---
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license: mit
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base_model:
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- Wan-AI/Wan2.2-T2V-A14B-Diffusers
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- lightx2v/Wan2.2-Lightning
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pipeline_tag: text-to-video
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---
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This model is a merger of [Wan-AI/Wan2.2-T2V-A14B-Diffusers](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers) and [Wan2.2-Lightning v1 model](https://huggingface.co/lightx2v/Wan2.2-Lightning/tree/main/Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1), it can be run with diffusers pipeline.
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For speedup infer, you can use [FastDM](https://github.com/KE-AI-ENG/FastDM), which generate a 720x1280 vedio with H20 only cost 120s.
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test command:
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```
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python gen.py --model-path FastDM/Wan2.2-T2V-A14B-Merge-Lightning-V1.1-Diffusers --architecture wan --guidance-scale 1.0 --height 720 --width 1280 --steps 4 --use-fp8 --output-path ./wan-a14b-lightningv1.1-fp8-guid1.mp4 --num-frames 81 --fps 16 --prompts "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage."
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```
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