AnimateLCM-SVD-xt

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匿名用户2024年07月31日
39阅读
所属分类aipytorch
开源地址https://modelscope.cn/models/AI-ModelScope/AnimateLCM-SVD-xt

作品详情

Samples generated by AnimateLCM-SVD-xt

Introduction

Consistency Distilled Stable Video Diffusion Image2Video-XT (SVD-xt) following the strategy proposed in AnimateLCM-paper. AnimateLCM-SVD-xt can generate good quality image-conditioned videos with 25 frames in 2~8 steps with 576x1024 resolutions.

Computation comparsion

AnimateLCM-SVD-xt can generally produces demos with good quality in 4 steps without requiring the classifier-free guidance, and therefore can save 25 x 2 / 4 = 12.5 times compuation resources compared with normal SVD models.

Demos

Alt text 1 Alt text 2 Alt text 3
2 steps, cfg=1 4 steps, cfg=1 8 steps, cfg=1
Alt text 1 Alt text 2 Alt text 3
2 steps, cfg=1 4 steps, cfg=1 8 steps, cfg=1
Alt text 1 Alt text 2 Alt text 3
2 steps, cfg=1 4 steps, cfg=1 8 steps, cfg=1
Alt text 1 Alt text 2 Alt text 3
2 steps, cfg=1 4 steps, cfg=1 8 steps, cfg=1
Alt text 1 Alt text 2 Alt text 3
2 steps, cfg=1 4 steps, cfg=1 8 steps, cfg=1

I have launched a gradio demo at AnimateLCM SVD space. Should you have any questions, please contact Fu-Yun Wang (fywang@link.cuhk.edu.hk). I might respond a bit later. Thank you!

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