Universal AI Art Station
The first truly hardware-agnostic generative suite. Native performance on Intel XPU, NVIDIA CUDA, and AMD ROCm.
Breaking Hardware Barriers
AI art shouldn't be limited by your GPU brand. Whether you run Intel Arc, NVIDIA GeForce, or AMD Radeon, ArtTic-LAB adapts to your hardware instantly.
One Codebase, Any GPU. We utilize native PyTorch implementations for each vendor, ensuring you get maximum performance without compatibility headaches.
A Unified Toolkit
Packed with features designed to maximize creative flow and minimize technical friction.
Hardware Agnostic
Auto-detects your GPU at startup and configures the optimal backend (XPU, CUDA, or ROCm) for native speed.
Smart Memory Management
Our VRAM-aware core actively calculates resolution limits based on your specific card's available memory, preventing OOM crashes.
SDNQ Quantization
Run massive models like FLUX on limited VRAM. Our integrated quantization engine reduces memory footprint without sacrificing fidelity.
Async Backend
The UI never freezes. Load models, queue generations, and browse your gallery simultaneously thanks to our non-blocking architecture.
Node-Based Workflow
A beautiful, drag-and-drop canvas allows you to chain models, prompts, and parameters visually. Complex workflows made simple.
Auto-Configuration
Drop a model file in, and ArtTic-LAB identifies the architecture (SDXL, SD3, etc.) and configures the pipeline automatically.
One-Click Sharing
Built-in Ngrok integration allows you to instantly generate a secure, public link to share your UI with friends or access it remotely.
Extensive LoRA Support
Load and mix multiple LoRAs with adjustable weights to fine-tune your generations exactly how you want them.
Under the Hood
A seamless flow from user interaction to GPU execution.
1. Web Interface
Dynamic, node-based frontend sends JSON payloads via WebSocket.
2. FastAPI Server
Asynchronous Python backend receives and queues requests.
3. Core Logic
Validates inputs and selects the optimal PyTorch pipeline.
4. Native Execution
Direct execution on XPU, CUDA, or ROCm backends.
Supported Architectures
From classic speed to cutting-edge quality, we support it all.
Stable Diffusion 1.5
The community favorite. Incredible speed and massive LoRA compatibility.
SDXL 1.0
Native 1024x1024 generation with superior composition and color capability.
Stable Diffusion 3
State-of-the-art text rendering and prompt adherence.
FLUX.1 [dev/schnell]
The new king of open weights. Fully supported with quantization options.
Community Gallery
Open Source Activity
We are committed to transparent, community-driven development.
GitHub Stars
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Commits
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Latest Release
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Our Contributors
The amazing people who make ArtTic-LAB possible.
Install in Seconds
Our automated installer handles Python, Conda, and PyTorch dependencies for you.
Common Questions
We officially support Windows 10/11 and Linux (Ubuntu/Arch). The installation scripts adapt to your OS.
A GPU with at least 8GB VRAM is recommended (Intel A750+, NVIDIA RTX 3060+, AMD RX 6600+). 16GB system RAM minimum.
Simply download `.safetensors` files from Civitai or HuggingFace and place them in the `/models` folder. The app will auto-detect them on refresh.
Start Creating Today
Join thousands of users pushing the boundaries of AI art on all platforms.