AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning
Paper
β’ 2402.00769 β’ Published
β’ 22
AnimateLCM-I2V is a latent image-to-video consistency model finetuned with AnimateLCM following the strategy proposed in AnimateLCM-paper without requiring teacher models.
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data by Fu-Yun Wang et al.
For more details, please refer to our [paper] | [code] | [proj-page] | [civitai].