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Awesome GitHub RepositoriesOptimization Frameworks
Techniques and toolkits for accelerating diffusion model inference through caching, quantization, and memory management.
Distinct from Diffusion Models: Distinct from Diffusion Models: focuses on the optimization and acceleration layer for existing models rather than the model architectures themselves.
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Awesome Optimization Frameworks GitHub Repositories
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- lllyasviel/framepack
lllyasviel/FramePack
17,028Ver en GitHubFramePack is a neural video synthesis engine and generation framework designed to produce long, temporally consistent video sequences. It functions as a diffusion model optimizer, providing a suite of techniques to manage the computational demands of high-parameter video models while maintaining visual stability during extended generation tasks. The system distinguishes itself through a hierarchical approach to frame prediction, which plans distant anchor frames before filling in intermediate content to prevent cumulative temporal drift. By utilizing constant-length context compression and to
Provides a suite of optimization techniques including caching and quantization to accelerate diffusion-based video generation on consumer hardware.
Python
