AI image generator with multi-reference fusion and advanced character consistency
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 credits available upon signup. Subscription options include monthly subscriptions with automatic monthly billing and annual subscriptions with up to 50% savings. One-time credit packs available for purchase. Specific plan names and prices not stated on the pages.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-image generation with flux text to image prompts
Image-to-image editing and refinement
Output up to 4MP with flexible aspect ratios
90% text legibility with multilingual typography support
Physics-aware lighting and realistic rendering
Three model variants: Pro, Flex, and Dev
Generation in under 10 seconds
JSON-structured prompts for precise control
FP8 quantization for 40% VRAM savings
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
Eliminates stochastic drift in edits that plague other tools
32-billion parameter rectified flow matching architecture for physics-aware generation
Professional-grade output up to 4MP for print-ready results
90% typography accuracy for multilingual layouts and text rendering
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