Turn any text or photo into printable coloring pages with AI
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
Free plan with 10 signup credits. Starter: $9.99/month or $95.88/year (200 credits/month). Creator: $19.99/month or $167.88/year (500 credits/month). Pro: $29.99/month or $239.88/year (1,000 credits/month). Business: $88.99/month or $695.88/year (3,000 credits/month). Standard pages cost 2 credits,
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text to coloring page creation with up to 4 versions
Photo to coloring page conversion
Batch coloring pages up to 20 pages
AI coloring book with cover and 3-40 pages
Multiple coloring page styles from simple to detailed
Watermark-free PNG and PDF downloads
Online coloring tool without AI credits
Commercial use license on Pro and Business plans
Multiple quality levels: Standard, 2K, 4K
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
No watermarks on any generated pages
Free tier with startup credits, no payment card required
Curated library of free coloring pages available without sign-in
Source photos remain private and not added to galleries
Commercial rights available for Etsy and Amazon KDP
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