W.A.L.T Video Diffusion
W.A.L.T is a transformer-based method for photorealistic video generation via diffusion modeling. It uses a causal encoder to compress images and videos into a unified latent space, and a window attention architecture for joint spatial and spatiotemporal generative modeling.
Features
- Image to Image Generation
- AI-Powered
W.A.L.T Video Diffusion News & Activities
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francesstarkenx added W.A.L.T Video Diffusion as alternative to Plexigen AI
labubu-live-photo added W.A.L.T Video Diffusion as alternative to Sora2 AI
doricindie added W.A.L.T Video Diffusion as alternative to LipsyncAI.net and Waver 1.0
pierson-yan added W.A.L.T Video Diffusion as alternative to Aleph Runway
POX added W.A.L.T Video Diffusion as alternative to Seedance
Maoholguin added W.A.L.T Video Diffusion as alternative to Hunyuan Video
Maoholguin added W.A.L.T Video Diffusion as alternative to Google Flow
POX added W.A.L.T Video Diffusion as alternative to Wan
phototovideo added W.A.L.T Video Diffusion as alternative to AI Kungfu
phototovideo added W.A.L.T Video Diffusion as alternative to PhotoToVideo
W.A.L.T Video Diffusion information
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Proprietary and Free product.Alternatives
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- English
What is W.A.L.T Video Diffusion?
W.A.L.T is a transformer-based method for photorealistic video generation via diffusion modeling. It uses a causal encoder to compress images and videos into a unified latent space, and a window attention architecture for joint spatial and spatiotemporal generative modeling.
This design allows for top performance on video (UCF-101 and Kinetics-600) and image (ImageNet) generation benchmarks without classifier free guidance. We also use a three-model cascade for text-to-video generation, producing 512 x 896 resolution videos at 8 frames per second.