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Wan: Open and Advanced Large-Scale Video Generative Models 👍 Multiple Tasks: Wan2 1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation 👍 Visual Text Generation: Wan2 1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications
Lightricks LTX-Video: Official repository for LTX-Video - GitHub 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
DepthAnything Video-Depth-Anything - GitHub 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
Store play video in Google Drive - Computer - Google Drive Help The video may be corrupted or uploaded in a format that won’t work Try to upload the video again or in a different format "Video is still processing Try again later ": The video is not ready to be played If the file is large, it may take awhile before your video is ready Try again in a while "This video is currently unavailable ":
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video . . . 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
【EMNLP 2024 】Video-LLaVA: Learning United Visual . . . - GitHub [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
GitHub - veo-3 veo-3 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
GitHub - kijai ComfyUI-WanVideoWrapper 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
stepfun-ai Step-Video-T2V - GitHub 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