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interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x Jan 21, 2025 · This work presents Video Depth Anything based on Depth Anything V2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them. It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them. [2024.09.25] 🔥🔥🔥 Our Video-LLaVA has been accepted at EMNLP 2024! We earn the meta score of 4. [2024.07.27] 🔥🔥🔥 A fine-tuned Video-LLaVA focuses on theme exploration, narrative analysis, and character dynamics. May 8, 2025 · Customized video generation aims to produce videos featuring specific subjects under flexible user-defined conditions, yet existing methods often struggle with identity consistency and limited input modalities. In this paper, we propose HunyuanCustom, a multi-modal customized video generation We present Step-Video-T2V, a state-of-the-art (SoTA) text-to-video pre-trained model with 30 billion parameters and the capability to generate videos up to 204 frames. To enhance both training and inference efficiency, we propose a deep compression VAE for videos, achieving 16x16 spatial and 8x temporal compression ratios. Jan 13, 2025 · We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models. In order to train HunyuanVideo model, we adopt several key technologies for model learning, including data Veo 3 is Google DeepMind’s latest AI-powered video generation model, introduced at Google I/O 2025. It enables users to create high-quality, 1080p videos

from simple text or image prompts, integrating realistic audio elements such as dialogue, sound effects, and ambient noise. ReCamMaster:. WanVideo2_1_recammaster.mp4. TeaCache (with the old temporary WIP naive version, I2V): Note that with the new version the threshold values should be 10x higher