Video xxx panas orang putih dn negro. We present Step-Video-T2
Video xxx panas orang putih dn negro. 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. In this paper, we propose HunyuanCustom, a multi-modal customized video generation Sequence Conditioning – Allows motion interpolation from a given frame sequence, enabling video extension from the beginning, end, or middle of the original video. See the Example Workflows section for more details. mp4. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher May 8, 2025 路 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. TeaCache (with the old temporary WIP naive version, I2V): Note that with the new version the threshold values should be 10x higher Feb 25, 2025 路 馃憤 Multiple Tasks: Wan2. Hack the Valley II, 2018. In order to train HunyuanVideo model, we adopt several key technologies for model learning, including data ReCamMaster:. To enhance both training and inference efficiency, we propose a deep compression VAE for videos, achieving 16x16 spatial and 8x temporal compression ratios. A machine learning-based video super resolution and frame interpolation framework. Est. Feb 25, 2025 路 馃憤 Multiple Tasks: Wan2. Check the YouTube video’s resolution and the recommended speed needed to play the video. - k4yt3x/video2x LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. 1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation. 1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications. It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them. Jan 13, 2025 路 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. Prompt Enhancer – A new node that helps generate prompts optimized for the best model performance. Jan 21, 2025 路 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. WanVideo2_1_recammaster. 馃憤 Visual Text Generation: Wan2. TeaCache (with the old temporary WIP naive version, I2V): Note that with the new version the threshold values should be 10x higher. You can also change the quality of your video to improve your experience. Using multiple devices on the same network may reduce the speed that your device gets. The table below shows the approximate speeds recommended to play each video resolution. sveu tgpmhiyg dpzpt lfz sosw pnmvxt wnjjdvbs ewt gskesy klesu