Best Cloud GPU Providers for ComfyUI & FLUX.1

ComfyUI is the industry-standard node-based GUI for Stable Diffusion, FLUX.1, and animated video generation. Running on cloud GPU with 24GB+ VRAM ensures 10x faster inference without system RAM paging.

Verified 1-Click Cloud Launchers for ComfyUI & FLUX.1

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

RunPodInstant Launch

RunPod ComfyUI Official Template

From$0.44/hr

Launch

Vast.aiInstant Launch

Vast ComfyUI + Flux Pre-baked Image

From$0.22/hr

Launch

TensorDockInstant Launch

TensorDock 4090 ComfyUI Instance

From$0.39/hr

Launch

Direct Docker Run Command

Standard Container Startup

docker run --gpus all -d -p 8188:8188 \
  -v /workspace/ComfyUI/models:/root/ComfyUI/models \
  -v /workspace/ComfyUI/output:/root/ComfyUI/output \
  --name comfyui \
  yanwk/comfyui-boot:cu124

Deployment Best Practices & Gotchas:

Allocate at least 50GB container disk for Flux.1-dev model weights (24GB) and VAE.
Expose TCP port 8188 with HTTP authentication if deploying on a public IP.
Use --highvram flag when running with RTX 4090 or A100 to avoid CPU offloading.

Recommended GPU Hardware for ComfyUI & FLUX.1

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 4090 (24GB)RTX 6000 Ada (48GB)A100 SXM (80GB)