Run ComfyUI on Apple Silicon in the Cloud: Node-Based Image Generation
ComfyUI is a node-based interface for Stable Diffusion that lets you build image generation workflows by connecting visual nodes together. Unlike simple prompt-to-image tools, ComfyUI exposes the full pipeline: model loading, conditioning, sampling, upscaling, ControlNet, LoRA injection, and post-processing — all as draggable, connectable blocks. It's the power-user tool for AI image generation, and it runs beautifully on Apple Silicon with Metal GPU acceleration.
Metal GPU: No NVIDIA Required
ComfyUI's PyTorch backend supports Metal (MPS) natively on macOS. The M4 Pro's 20-core GPU handles SDXL generation at roughly 3–4 seconds per 1024x1024 image — not as fast as an RTX 4090, but fast enough for iterative creative work and batch generation. The key advantage is that you don't need NVIDIA hardware, CUDA drivers, or Linux. Everything runs on macOS, and the unified memory means SDXL's large model weights fit comfortably in 48 GB without tiling or offloading tricks.
Deploying ComfyUI on Macyou
Find the ComfyUI stack in the Macyou Catalog and deploy with one click. The pre-configured environment includes Python, PyTorch with MPS support, and ComfyUI itself. Connect via VNC to access the browser-based UI, or use the ComfyUI API for headless batch generation.
$ ssh root@YOUR_IP
# ComfyUI is already running on port 8188
# Access via VNC or SSH tunnel:
$ ssh -L 8188:localhost:8188 root@YOUR_IP
# Open http://localhost:8188 in your browserWorkflow Example: SDXL with ControlNet
A practical ComfyUI workflow on Macyou: load the SDXL base model, add a ControlNet node for depth or canny edge guidance, connect a prompt conditioning node, and wire it into a KSampler. Save the workflow as a JSON file to reuse or share with your team. For batch generation, use ComfyUI's API mode — POST your workflow JSON to the server and collect results programmatically. This turns your Macyou server into an on-demand image generation API.
Recommended Tier
For SDXL with ControlNet, the Standard tier ($299/mo, 48 GB) is ideal — it gives enough memory for the base model, refiner, and ControlNet simultaneously. Check pricing for details.
Start generating — deploy ComfyUI on Apple Silicon today.