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Awesome GitHub RepositoriesAnimation Adapters
Modules that add temporal capabilities to static diffusion models.
Distinct from Diffusion Model Managers: Specifically focuses on transforming an image model into a video model, rather than managing model weights.
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Awesome Animation Adapters GitHub Repositories
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- guoyww/animatediff
guoyww/AnimateDiff
12,144在 GitHub 上查看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
Transforms existing text-to-image diffusion models into video generators without changing the underlying base model.
Python
