Create high-quality AI images from text with transparent credit pricing
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 starter credits with no sign-up required. Subscription plans: Starter $19.99/mo or $119.99/year (7,200 credits/year); Pro $39.99/mo or $219.99/year (15,600 credits/year); Studio $79.99/mo or $399.99/year (33,600 credits/year). Credit packs available for one-time purchase, valid 365 days. Genera
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Fast generation without design skills
Commercial use rights included
Multiple aspect ratios
API access on paid plans
Free starter credits without sign-up
Credit-based pricing system
Task history and account storage
Priority queue on higher plans
Team-ready volume for Studio plan
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
Publish-ready results in seconds with composition and lighting automatically optimized
Simplified workflow eliminating heavyweight design software and complex tools
Transparent credit pricing matching actual content calendar needs
Privacy-focused with prompts not published and assets owned by user
Flexible integration with existing workflows via download, URL, or API
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