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pipeline_tag: image-to-video
---
# AnimateLCM-I2V for Fast Image-conditioned Video Generation in 4 steps.
AnimateLCM-I2V is a latent image-to-video consistency model finetuned with [AnimateLCM](https://huggingface.co/wangfuyun/AnimateLCM) following the strategy proposed in [AnimateLCM-paper](https://arxiv.org/abs/2402.00769) without requiring teacher models.
[AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data](https://arxiv.org/abs/2402.00769) by Fu-Yun Wang et al.
## Example-Video
<video controls autoplay src="/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F63e9e92f20c109718713f5eb%2FSMZ4DAinSnrxKsVEW8dio.mp4%26quot%3B%3C%2Fspan%3E%26gt%3B%3C%2Fspan%3E%3C%2Fspan%3E%3Cspan class="language-xml"></video>
For more details, please refer to our [[paper](https://arxiv.org/abs/2402.00769)] | [[code](https://github.com/G-U-N/AnimateLCM)] | [[proj-page](https://animatelcm.github.io/)] | [[civitai](https://civitai.com/models/310920/animatelcm-i2v-fast-image-to-video-generation)].
<video controls autoplay src="/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F63e9e92f20c109718713f5eb%2FKCwSoZCdxkkmtDg1LuXsP.mp4%26quot%3B%3C%2Fspan%3E%26gt%3B%3C%2Fspan%3E%3C%2Fspan%3E%3Cspan class="language-xml"></video>
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