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Wan: Open and Advanced Large-Scale Video Generative Models Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation Wan2 1 offers these key features:
GitHub - stepfun-ai Step-Video-T2V Step-Video-T2V exhibits robust performance in inference settings, consistently generating high-fidelity and dynamic videos However, our experiments reveal that variations in inference hyperparameters can have a substantial effect on the trade-off between video fidelity and dynamics
HunyuanVideo: A Systematic Framework For Large Video . . . - GitHub HunyuanVideo introduces the Transformer design and employs a Full Attention mechanism for unified image and video generation Specifically, we use a "Dual-stream to Single-stream" hybrid model design for video generation In the dual-stream phase, video and text tokens are processed independently through multiple Transformer blocks, enabling each modality to learn its own appropriate
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
Create your first video in Google Vids Create a video using help me create You can use help me create to generate a first-draft video with Gemini in Google Vids All you need to do is enter a description Gemini then generates a draft—including a script, AI voiceover, scenes, and content—for the video You can then edit the draft as needed On your computer, open Google Vids
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video . . . Multimodal Video customization HunyuanCustom supports inputs in the form of text, images, audio, and video Specifically, it can handle single or multiple image inputs to enable customized video generation for one or more subjects Additionally, it can incorporate extra audio inputs to drive the subject to speak the corresponding audio