Generate customizable videos from images and text prompts using AI
High-fidelity photorealistic AI image generation with natural prompting
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free Plan available. Starter One-Time payment: $199 (reduced from $299) for 20000 credits valid for 1 month. Starter Monthly Subscription: $29.9/month (reduced from $49.9) for 3000 credits valid for 1 month. Credits used per second vary by model and resolution: Seedance 2.0 at 480P costs 29 credits/
Free and open source
Key features
Multi-model integration including Seedance, Kling, Veo, and Runway
Custom camera control with pans, zooms, tilts and rotations
Custom video duration controls
Dynamic video fluidity settings
Style customization from photorealism to anime and cyberpunk
Dual-input synthesis combining images and text prompts
High priority queue access in paid plans
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
Access multiple leading AI video models in one platform without multiple subscriptions
Instant video generation from images and text with no technical skills required
Faster production speed and zero costs on free plan
Complete creative control over camera motion and visual style
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