All-in-one AI video and image generator with professional quality at affordable prices
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Pricing model
Freemium
Open source
Pricing
Free: 20 one-time credits with up to 1 video and 10 images; Starter: $10 USD/month ($120 yearly) for 500 credits/month; Pro: $15 USD/month ($180 yearly) for 2,500 credits/month. Credit packs available from $5 for 100 credits to $900 for 90,000 credits. Models cost varies: Nano Banana 1 credit, Face
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Synchronized audio generation for videos
Character consistency across video scenes
Reference image guidance for video generation
Frame-to-frame animation transitions
High-resolution image output up to 4K
Multiple AI video models
API access for programmatic generation
Face swap functionality
Image upscaling
No watermarks on Pro tier
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
Production-ready videos with synchronized audio and character consistency, no post-production needed
Access to multiple premium AI models including Veo 3.1 for cinematic control
Credit-based flexible pricing with no expiring monthly credits when buying packs
Commercial rights for Pro subscribers with full watermark removal
Enterprise plan available for teams with custom requirements
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives