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Compresses cartoon frames into a lower-dimensional latent space for efficient diffusion-based frame synthesis and reconstruction.
Distinct from Latent Diffusion Models: Distinct from Latent Diffusion Models: specifically applies latent diffusion to animation frame synthesis rather than general image generation.
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- doubiiu/tooncrafter
Doubiiu/ToonCrafter
5,972Auf GitHub ansehenToonCrafter is a model that combines latent diffusion, reference-based colorization, and sketch-guided control for cartoon animation and interpolation. It functions as a cartoon video interpolation model, a reference-based colorization model, and a sketch-guided animation tool, all built on a latent diffusion animation framework. The project distinguishes itself by integrating three core capabilities into a single pipeline: generating smooth intermediate frames between two cartoon images using diffusion-based priors, transferring color and style from a reference image onto black-and-white ske
Compresses cartoon frames into a lower-dimensional latent space for efficient diffusion-based frame synthesis and reconstruction.
Python
