AI architectural rendering for buildings, interiors, and landscapes
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 available. Paid plans: Starter $19/month (500 credits, about 100 images), Pro $49/month (1,500 credits, about 300 images), Studio $129/month (5,000 credits, about 1,000 images). Annual plans available with up to 5 months free. Standard 1K image uses 5 credits, 2K uses 7, 4K uses 10.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Sketch-to-render for early architectural concepts
Interior room redesign and virtual staging
Landscape and garden concept design
Architectural render enhancement
Architectural image to video animation
Human Fix Guarantee for incorrect results
Multiple concurrent generation tasks
Batch design variations
HD watermark-free exports
Commercial use rights included
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
Human team fixes AI misreadings within 24 hours at no extra cost
First render completed by the team for new Pro and Studio subscribers
Unified credit system across all design tools
No AI model training on user projects without permission
48-hour money-back guarantee for new subscriptions
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