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Image-to-video transformation
Seamless transitions and high visual quality
Easy, few-click workflows
Image merging to create videos
AI hug video generation
Text-to-video capability
Gallery for inspiration and examples
Interactive playground for experimentation
Up to 204 frames per video
Bilingual text encoder (English/Chinese)
Deep compression VAE
DiT architecture with 3D full attention
Direct Preference Optimization (Video-DPO) with human feedback
30B-parameter model architecture
Local/offline execution
Multi-GPU and single-GPU support
CUDA-compatible NVIDIA GPU acceleration
Linux-optimized deployment
FFmpeg integration
Downloadable models on Huggingface and Modelscope
Turbo variant with inference step distillation
Benchmarks on 128 prompts across 11 categories
Best-practice inference settings for fidelity vs. dynamics
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Generate short-form videos from text prompts or images for social platforms in minutes.
Produce product teasers and ad variations by iterating on prompts and styles.
Create visual explainers and lecture snippets from lesson text or diagrams.
Storyboard concepts by converting scene descriptions into animated clips.
Prototype cutscenes and environment fly-throughs from concept art.
Turn product photos into engaging showcase videos with smooth transitions.
Quickly repurpose static posts into dynamic reels with consistent aesthetics.
Run the model locally, test bilingual prompts, and fine-tune inference parameters.
Scale creative variations for clients using the Turbo model for faster generation.
Transform headlines and keyframes into short explainer videos for rapid publishing.