HSA assigns variable denoising steps to spatiotemporal tokens in DiTs based on velocity dynamics, with KV-cache sync and cached Euler updates, outperforming prior caching methods on quality-runtime tradeoffs for T2V and I2V generation.
Scaling rectified flow transformers for high-resolution image synthesis
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Bernini is a framework that uses an MLLM planner to output semantic representations for a DiT renderer to generate or edit videos, reporting SOTA benchmark performance.
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Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation
HSA assigns variable denoising steps to spatiotemporal tokens in DiTs based on velocity dynamics, with KV-cache sync and cached Euler updates, outperforming prior caching methods on quality-runtime tradeoffs for T2V and I2V generation.
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Bernini: Latent Semantic Planning for Video Diffusion
Bernini is a framework that uses an MLLM planner to output semantic representations for a DiT renderer to generate or edit videos, reporting SOTA benchmark performance.