CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
Summary
This paper presents CineMobile, a method for efficient on-device image-to-video generation that achieves a 40x speedup over the teacher model through distillation-guided pruning, diffusion distillation, and hybrid quantization, enabling cinematic camera motion effects on mobile devices.
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Paper page - CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
Source: https://huggingface.co/papers/2607.03803
Abstract
CineMobile enables efficient image-to-video generation on mobile devices through distillation-guided pruning, diffusion distillation, and hybrid quantization techniques while maintaining visual quality and achieving significant speedup.
The growing demand for image-to-video creation on mobile devices has increasingly focused oncinematic motion effectslike bullet time, dolly zoom, slow motion, etc. WhileDiffusion Transformers(DiTs) exhibit strong performance invideo generation, their large parameter sizes and multi-step iterative denoising processes lead to substantial computational overhead, making efficient generation on mobile devices challenging. We propose CineMobile to bridge the gap. In particular, CineMobile adopts a three-fold optimization strategy: (1) leveraging adistillation-guided pruningapproach to derive a compact yet efficient model that retains the essentialvideo generationcapabilities required for cinematic effects; (2) optimizing the compressed model into a 4-step generator via a combination ofdiffusion distillationandreinforcement learning; (3) employing ahybrid post-training quantizationstrategy to compress the model footprint to under 1 GB. Experimental results show that compared to the teacher model with the Wan 2.1 architecture, CineMobile achieves a 40x speedup in generation while maintaining comparable visual quality. Specifically, CineMobile generates 49-frame 480p videos with a per-step denoising latency of 0.6s on an NVIDIA H200 GPU and 20s on the MediaTek Dimensity 8400 Ultimate 5G platform, with a peak memory usage of 1.8 GB, demonstrating its practical applicability for mobile-based image-to-video creation.
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