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Lightweight layers that inject specific movements into generative models.
Distinct from Identity Adapters: Focuses on injecting cinematic camera motion rather than subject-specific identity information.
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AnimateDiff is a latent diffusion video generator and text-to-video diffusion framework. It converts existing text-to-image diffusion models into animation generators by applying specialized motion modules, allowing for the creation of video sequences without modifying the original base model. The project provides an image-to-video animation framework that uses sparse RGB images, sketches, or structural keyframe constraints to guide generation. It further distinguishes itself with a motion adapter system that injects cinematic camera movements, such as zooming, panning, and tilting, into anim
Ships lightweight layers that inject cinematic camera movements like zooming and panning into animations.