Wan2.2-I2V-A14B-Moe-Distill-Lightx2v-high-noise
Back

Wan2.2-I2V-A14B-Moe-Distill-Lightx2v-high-noise
314 5 65

Other

Wan2.2-I2V-A14B-Moe-Distill-Lightx2v-high-noise

Wan2.2-I2V-A14B-Moe-Distill-Lightx2v is an advanced image-to-video generation model built upon the Wan2.2-I2V-A14B foundation. This approach allows the model to generate videos with significantly fewer inference steps (4 steps, 2 steps for high noise and 2 steps for low noise) and without classifier-free guidance, substantially reducing video generation time while maintaining high quality outputs.

This model is sourced from an external transfer (transfer address: https://huggingface.co/lightx2v/Wan2.2-I2V-A14B-Moe-Distill-Lightx2v/tree/main ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

Mohit

Mohit

Other

Model Information

Active
Original author：
lightx2v
Model Type：
LoRA
Basic Model：
WAN2.2
Resource Name：
models/loras/high_noise_model_rank64.safetensors
MD5：
da2b6496e1fed7e0daf3d4b70ec02e72

Wan2.2-I2V-A14B-Moe-Distill-Lightx2v is an advanced image-to-video generation model built upon the Wan2.2-I2V-A14B foundation. This approach allows the model to generate videos with significantly fewer inference steps (4 steps, 2 steps for high noise and 2 steps for low noise) and without classifier-free guidance, substantially reducing video generation time while maintaining high quality outputs.

This model is sourced from an external transfer (transfer address: https://huggingface.co/lightx2v/Wan2.2-I2V-A14B-Moe-Distill-Lightx2v/tree/main ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request