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Heartsync/VEO3-RealTime
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⚡ FusionX Enhanced Wan 2.1 I2V (14B) 🎬
🚀 Revolutionary Image-to-Video Generation Model
Generate cinematic-quality videos in just 8 steps!
https://huggingface.co/spaces/Heartsync/WAN2-1-fast-T2V-FusioniX
✨ Key Features
🎯 Ultra-Fast Generation: Premium quality in just 8-10 steps
🎬 Cinematic Quality: Smooth motion with detailed textures
🔥 FusionX Technology: Enhanced with CausVid + MPS Rewards LoRA
📐 Optimized Resolution: 576×1024 default settings
⚡ 50% Speed Boost: Faster rendering compared to base models
🛠️ Technical Stack
Base Model: Wan2.1 I2V 14B
Enhancement Technologies:
🔗 CausVid LoRA (1.0 strength) - Motion modeling
🔗 MPS Rewards LoRA (0.7 strength) - Detail optimization
Scheduler: UniPC Multistep (flow_shift=8.0)
Auto Prompt Enhancement: Automatic cinematic keyword injection
🎨 How to Use
Upload Image - Select your starting image
Enter Prompt - Describe desired motion and style
Adjust Settings - 8 steps, 2-5 seconds recommended
Generate - Complete in just minutes!
💡 Optimization Tips
✅ Recommended Settings: 8-10 steps, 576×1024 resolution
✅ Prompting: Use "cinematic motion, smooth animation" keywords
✅ Duration: 2-5 seconds for optimal quality
✅ Motion: Emphasize natural movement and camera work
🏆 FusionX Enhanced vs Standard Models
Performance Comparison: While standard models typically require 15-20 inference steps to achieve decent quality, our FusionX Enhanced version delivers premium results in just 8-10 steps - that's more than 50% faster! The rendering speed has been dramatically improved through optimized LoRA fusion, allowing creators to iterate quickly without sacrificing quality. Motion quality has been significantly enhanced with advanced causal modeling, producing smoother, more realistic animations compared to base implementations. Detail preservation is substantially better thanks to MPS Rewards training, maintaining crisp textures and consistent temporal coherence throughout the generated sequences.
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3 months ago
Autoregressive Adversarial Post-Training for Real-Time Interactive Video
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