Turn still images into short AI videos with motion control
High-fidelity photorealistic AI image generation with natural prompting
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free: 3 free Video Fast 1.0 generations daily. Pay Once plans: 1,300 credits for $9.90 (180 days), 2,800 credits for $19.90 (365 days), 7,500 credits for $49.90 (365 days). Monthly and yearly subscription options available with 50% off yearly plans.
Free and open source
Key features
Multiple AI video models with different strengths
Text prompts to control motion and camera movement
Customizable aspect ratio, resolution, and duration
Free daily generations with no watermark
Support for JPEG, PNG, and WebP images up to 10 MB
Generation history and account management
Real-time progress tracking during generation
Works with various image types including portraits, products, and old photos
High-fidelity skin and eye rendering with fine pores and light reflections
Robust composition coherence for multi-subject scenes and action shots
Baked-in VAE with optimized color tuning
Simple natural language prompting without complex templates
Compatible with ComfyUI, Automatic1111, and Forge
Works with popular SDXL ControlNets and IP-Adapters
Thousands of compatible LoRAs available
Optimized CFG sensitivity for high quality at lower scales
Natural light scattering and structural accuracy
Experimental Catalyst branch for continuous model evolution
What makes it different
No watermark on free videos, even with daily free generations
Simple three-step workflow: upload image, describe motion, generate and preview
Compare multiple AI video models without changing workflow
Designed for quick creative testing and iteration
Good balance between simplicity and control over video settings
Minimal prompting complexity with natural language descriptions instead of complex embeddings
Eliminates artificial AI textures and generic rendering artifacts
Open-source with commercial use permissions
Seamless integration into existing AI image generation workflows
Continuously refined through community feedback and experimental development