Main features: image-to-video and text-to-video generation using Diffusion Transformer (DiT) architecture. Key characteristics: generates high-quality 768p resolution videos at 24 FPS with up to 5 seconds duration, supports dual-mode (image and text inputs), open-source model accessible via Hugging Face and GitHub, API integration available. Target users: content creators, developers, researchers, and enterprises. Core advantages: professional-grade video quality, open-source accessibility, efficient DiT processing for temporal consistency, flexible dual-mode generation. Typical use cases: creative video production, marketing content creation, research applications for video synthesis. Pricing: free open-source access (model download and community support), paid developer access (advanced API features, monthly subscription, coming soon), enterprise custom solutions (contact for pricing, including deployment and dedicated support).
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