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: 10 credits, up to 2 videos, 1 parallel task, watermarked outputs. Lite plan: $150/year (billed annually), 13,000 credits/year, up to 1,300 videos/year, 2 parallel tasks, no-watermark outputs. Pro plan: $300/year (billed annually), 31,000 credits/year, up to 3,100 videos/year, 3 parallel t
Free and open source
Key features
Text-to-video generation from scene prompts
Image-to-video editing with product and character references
Video-to-video editing with natural language prompts
Reference consistency preservation across variations
Audio-aware direction for timing and music sync
Multi-model support for different generation workflows
Parallel task processing for faster workflow
Private video visibility and copy protection in paid plans
Watermark-free outputs 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
Live agent iteration that picks models and writes prompts for you
Multimodal inputs combining text, images, videos, and audio cues
Focused natural language edits without rebuilding entire shots
Reference-led editing and transformation workflow
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