System Requirements
Hardware and software requirements for running 360 Hextile
Last updated: 2026-08-24
System Requirements
Hardware Requirements
When available, the System Requirements card GPU picker on the marketing site is the source of truth for named-GPU fit against the current packaged app runtime; the table below remains broad historical guidance.
Pick your card in the picker on the pricing or features page and the chart measures every pipeline's VRAM requirement against your card's memory. Anything above the line runs today; anything below it needs a larger card. Cards whose architecture the packaged runtime does not yet support are labelled as such rather than shown as out of memory.
GPU (REQUIRED)
- CUDA-capable NVIDIA GPU with a current CUDA-compatible driver (CUDA 12.1+)
- SDXL (default) needs 12 GB VRAM. Lighter pipelines can run with less.
- Recommended: 16 GB VRAM
- Optimal: 24 GB VRAM
GPU Compatibility Table
| GPU | VRAM | Recommended Processors | Performance |
|---|---|---|---|
| RTX 4090 | 24GB | All processors except 40+ GB precision variants | Excellent |
| RTX 4080 | 16GB | Most processors; excludes Chroma1-HD and 40+ GB precision variants | Excellent |
| RTX 4070 Ti | 12GB | SDXL, TeleStyle Alpha, Z-Image Turbo, SD 1.5/2.1 | Great |
| RTX 4070 | 12GB | SDXL, TeleStyle Alpha, Z-Image Turbo, SD 1.5/2.1 | Great |
| RTX 4060 Ti | 8GB | SD 1.5, SD 2.1 | Good |
| RTX 4060 | 8GB | SD 1.5, SD 2.1 | Good |
| RTX 3090 | 24GB | All processors | Excellent |
| RTX 3080 | 10-12GB | SD 1.5/2.1; 12 GB models also support SDXL | Great |
| RTX 3070 | 8GB | SD 1.5, SD 2.1 | Good |
| RTX 3060 | 12GB | SDXL, TeleStyle Alpha, Z-Image Turbo, SD 1.5/2.1 | Good |
| RTX 2080 Ti | 11GB | SD 1.5, SD 2.1 | Good |
| RTX 2070/2060 | 6-8GB | SD 1.5, SD 2.1 | Adequate |
VRAM Usage by Processor
| Processor | Minimum VRAM | Recommended VRAM |
|---|---|---|
| SD 1.5 Inpaint | 6 GB | 8 GB |
| SD 2.1 Inpaint | 8 GB | 10 GB |
| SDXL Inpaint | 12 GB | 14 GB |
| SD 3.5 Inpaint | 16 GB | 18 GB |
| FLUX.1 Schnell | 24 GB | 24 GB; BF16-capable NVIDIA CUDA GPU required |
| FLUX.2 Klein | 13 GB | 16 GB |
| Qwen-Image Alpha (GGUF Q4) | 13 GB | 16 GB |
| Qwen-Image Alpha (BF16) | 40 GB | 48 GB |
| TeleStyle Alpha (GGUF Q4) | 12 GB | 16 GB |
| Chroma1-HD Alpha | 19 GB | 24 GB |
| Z-Image Turbo | 12 GB | 14 GB |
| Real-ESRGAN Alpha | 4 GB | 6 GB |
| Coverage Test Alpha | 0 GB | 0 GB |
| Post Process | 0 GB | 0 GB |
| Format Converter Alpha | 0 GB | 0 GB |
Note: Only ONE diffusion model is loaded in VRAM at a time. Switching processors auto-unloads the previous model.
System RAM
- Minimum: 16 GB
- Recommended: 32 GB
Storage
- Current Windows installer: about 2.9 GB; it unpacks to about 6.2 GB
- Default first-run SDXL download: about 14 GB. Other pipelines are typically about 10–20 GB; some optional precision variants are larger.
- Render output: varies by resolution and project
- Recommended: 50 GB free SSD space
CPU
- Modern multi-core (Intel i5 / AMD Ryzen 5 or better)
- CPU is not the bottleneck — GPU handles all AI processing
Software Requirements
Operating System
- Windows only: Windows 10 (64-bit, 21H2+) or Windows 11
- macOS is NOT supported (requires NVIDIA CUDA GPU)
NVIDIA Driver
- Use a current CUDA-compatible NVIDIA driver (CUDA 12.1+)
- The latest Game Ready or Studio driver is recommended
- Check your driver: run
nvidia-smiin Command Prompt
WebView2 Runtime
- Pre-installed on Windows 10/11
- If missing: download from Microsoft
Not Supported
- AMD GPUs (no CUDA support)
- Intel Arc GPUs
- Apple Silicon Macs
- Integrated graphics (Intel HD, AMD Vega)
- Cloud GPU instances (app requires local display)
Checking Your System
- In-app: Settings → GPU Information panel shows your GPU model, VRAM, and driver version
- Command line:
nvidia-smishows GPU model, VRAM, driver version - GPU-Z (free tool) for detailed GPU specs
See also: Pipelines for processor details | Settings for the GPU information panel | Model Management for model download sizes