Professional AI image generator for transforming creative ideas into stunning artwork
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 tier includes basic image generation. One-time purchase packages available. Pro plans offer advanced features and additional credits. Credits vary by model: Realistic AI Images and Anime AI Images cost 1 credit per image, Miniatur AI costs 2 credits, Image Resizer costs 2 credits, Inpainting co
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-image generation with natural language processing
Image-to-image transformation for style variation
Text-to-video generation with semantic understanding
Image-to-video animation with natural motion
Style customization with preset options
Professional high-resolution output
Inpainting and outpainting capabilities
Background removal tool
Image resizing functionality
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
Advanced AI technology with deep learning and professional-grade image processing
Precise control over artistic styles, composition, and technical parameters
Commercial use with transparent and business-friendly licensing terms
Vibrant creator community for collaboration and inspiration
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