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wangfuyun/AnimateLCM-SVD-xt
AnimateLCM-SVD-xt is a image-to-video model from wangfuyun. Use it for the image-to-video task on the model card, and read the license before you ship it in a product.
<p align="center" <img src="./demos/demo-01.gif" width="70%" / <img src="./demos/demo-02.gif" width="70%" / <img src="./demos/demo-03.gif" width="70%" /
Downloads · 30 days
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.safetensors12.2 GB · 99%
From the Hugging Face model README
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.
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.
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| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
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| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
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| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
![]() | ![]() | ![]() |
| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
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| 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 ([email protected]). I might respond a bit later. Thank you!