Turn finished music into ready-to-publish videos with synced captions
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
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Open source
Pricing
Lite: $19/month with 700 credits/month, post 5 videos per month, 1 brand kit. Start: $39/month with 1,500 credits/month, post 10 videos per month, 1 brand kit. Pro: $99/month with 4,000 credits/month, post 50 videos per month, 5 brand kits. Yearly billing available with 2 months free. Additional cre
Free and open source
Key features
Auto-synced lyric captions with word-level accuracy
Multiple export formats: 9:16 vertical and 16:9 widescreen
Brand kits with custom logos, colors, and outros
Direct YouTube publishing via OAuth
Auto-transcription of vocals
API access for automation
Credit-based pricing model
Support for multiple audio formats up to 100 MB
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
Converts finished music into publishable videos in minutes without manual editing work
One-click direct publishing to YouTube with title, description, and tags automatically filled in
Auto-synced captions at word level rather than requiring manual lyric entry
Support for multiple faceless channels with separate brand kits
API available for programmatic automation of video creation workflows
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