Best Cloud GPU Providers for Fooocus SDXL Workstation

Fooocus automates all technical image generation parameters: automatic prompt expansion, hidden negative prompts, and face restoration. If you want Midjourney-quality outputs without the complexity of ComfyUI nodes, Fooocus is the ideal solution.

Verified 1-Click Cloud Launchers for Fooocus SDXL Workstation

Click to launch directly with pre-installed CUDA drivers, PyTorch, and template weights

RunPodInstant Launch

Fooocus SDXL Official One-Click

From$0.34/hr

Launch

Vast.aiInstant Launch

Vast Fooocus Pre-loaded Image

From$0.18/hr

Launch

TensorDockInstant Launch

TensorDock Fooocus Instance

From$0.25/hr

Launch

Direct Docker Run Command

Standard Container Startup

docker run --gpus all -d -p 7865:7865 \
  -v /workspace/models:/root/Fooocus/models \
  -v /workspace/outputs:/root/Fooocus/outputs \
  mrspade/fooocus:latest

Deployment Best Practices & Gotchas:

Runs on any GPU with 8GB+ VRAM, but RTX 4090 generates 1024x1024 images in under 1.8 seconds.
Enable 'Extreme Speed' mode for LCM or Turbo sampling when rapid brainstorming is required.
Map your outputs volume to persistent cloud storage so creations survive pod shutdowns.

Recommended GPU Hardware for Fooocus SDXL Workstation

To achieve reliable throughput without running into CUDA Out of Memory (OOM) errors, we recommend deploying on one of the following verified GPU models:

RTX 3090 (24GB)RTX 4090 (24GB)