SkyReels-V4 is a next-generation multi-modal video foundation model built on a dual-stream MMDiT architecture that enables joint video and audio generation, inpainting, and editing in a unified system. This AI video generator processes text, images, video clips, masks, and audio references as inputs to produce high-quality 1080p videos at 32 FPS for up to 15 seconds with synchronized audio output.
Key Features:
- Dual-Stream MMDiT Architecture: Jointly processes visual and auditory modalities in a single forward pass for superior temporal alignment
- Multi-Modal Input Support: Accepts text, reference images, video clips, binary masks for inpainting, and audio references
- Native Audio Synchronization: Generates video and audio tokens simultaneously ensuring lip movements match speech and environmental sounds align with visual events
- Video Inpainting Capabilities: Uses channel concatenation to edit specific regions of existing videos with temporal coherence
- 1080p Output at 32 FPS: Professional-grade video quality with up to 15-second duration
- Free Tier Access: No signup required for initial use with full access to the dual-stream MMDiT model
- API for Developers: Integration support for text-to-video, image-to-video, inpainting, and batch processing
Use Cases:
- Cinematic Content Creation: Independent filmmakers producing content for YouTube, TikTok, and Instagram
- Marketing Campaigns: Teams creating product advertisements with matching audio at scale
- Video Editing and Inpainting: Professionals removing objects, replacing backgrounds, and modifying regions in existing footage
- Research and Development: AI researchers using the model as a foundation for multi-modal generation studies
- Multi-Shot Narratives: Creating video stories with character consistency and audio continuity across camera angles
The platform offers a free tier with daily generation credits and paid plans for extended usage, making it accessible to creators, marketers, developers, and researchers looking for a unified solution for AI-powered video production.
