Create personalized storybooks, videos and images with AI in 60 seconds
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Basic plan 300 credits for $19.90/month (introductory $9.90/month for new subscribers); Standard plan 1000 credits for $39.90/month; Premium plan 2000 credits for $69.90/month. 50% discount available with yearly subscription. Free generation possible with earned or promotional credits.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Smart Consistency Engine to maintain character appearance across pages
High-quality PDF output with Ultra-HD 4K option
Commercial rights and full commercial license for created content
Print-ready output optimized for physical publishing
Multi-character synchronization for consistency across books
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
Create full illustrated storybooks in 60 seconds from a single idea
Access to 10,000+ quality pre-made stories across multiple languages
Multiple AI model options for different creative needs and styles
Commercial use rights and publishing-ready outputs included
Smart consistency engine maintains character appearance throughout stories
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