Create stunning AI images in seconds with LoRA AI technology
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
Pro plan: $10.00/month or $119.99/year (billed yearly, 50% savings); Premium plan: $16.67/month or $199.99/year (billed yearly, 44% savings). Pro includes 900 credits every 3 months and video LoRA training access. Premium includes 2,100 credits every 3 months, unlimited LoRA AI Basic images, and unl
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Custom LoRA training for characters and styles
AI video generation from prompts and reference images
Character consistency across multiple generations
Product and brand asset generation
Reference image editing
Anime LoRA training
Video LipSync workflows
Multiple AI model support
Creation history and recovery workflows
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
Built specifically for repeatable characters, products, and brand assets unlike general AI tools
Custom LoRA training capability to create reusable models
Faster creative iteration with reusable LoRA models
Seamless integration with popular platforms like Stable Diffusion XL and ComfyUI
High-speed image generation in seconds with optimized infrastructure
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