Automatic Deploy ComfyUI Hosting:
Generate Images with GPU

ComfyUI Hosting lets you run Stable Diffusion in a flexible, visual, and modular interface directly on high-performance GPU servers. With a node-based workflow system, ComfyUI allows you to build, customize, and execute complex AI image generation pipelines using models like SDXL, SD 1.5/2.1, LoRA, and ControlNet—without writing code. Ideal for advanced users, creators, and AI developers, ComfyUI Hosting offers full control, faster processing, and support for custom workflows on your own server environment.

  • Supports pre-installation and automated deployment
  • Visit comfyui Interface in your browser
  • Freely download any model supported by comfyui
  • Powerful GPUs provide computing power

Choose The Best GPU for ComfyUI Hosting

Choosing the Best GPU for ComfyUI Hosting ensures smooth, fast, and reliable AI image generation with models like SDXL, SD 1.5, and
LoRA. Whether you're building advanced workflows or running high-resolution outputs, selecting a GPU with the right VRAM
(e.g., 16GB–24GB or more) is critical for optimal performance.

Professional GPU VPS - A4000



  • 32GB RAM
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered
    Bandwidth


    • Once per 2 Weeks Backup

  • OS: Linux / Windows 10/
    Windows 11
  • Dedicated GPU: Quadro RTX A4000
  • CUDA Cores: 6,144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2
    TFLOPS

    • Advanced GPU Dedicated Server - RTX 3060 Ti

  • 128GB RAM
  • GPU: GeForce RTX 3060 Ti
  • Dual 12-Core E5-2697v2
    (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux


    • Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2
    TFLOPS


    • Advanced GPU Dedicated Server - A5000

  • 128GB RAM
  • GPU: Nvidia Quadro RTX A5000
  • Dual 12-Core E5-2697v2
    (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux


    • Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8
    TFLOPS

    • Enterprise GPU Dedicated Server - RTX 4090

  • 256GB RAM
  • GPU: GeForce RTX 4090
  • Dual 18-Core E5-2697v4
    (36 cores & 72 threads)
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux

    • Single GPU Specifications:

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X.
  • FP32 Performance: 82.6
    TFLOPS


    • Enterprise GPU Dedicated Server - RTX A6000

  • 256GB RAM
  • GPU: Nvidia Quadro RTX A6000
  • Dual 18-Core E5-2697v4
    (36 cores & 72 threads)
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux

    • Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48 GB GDDR6
  • FP32 Performance: 38.71
    TFLOPS


    • Enterprise GPU Dedicated Server - RTX PRO 6000

  • 256GB RAM
  • GPU: Nvidia RTX PRO 6000
  • Dual 24-Core Platinum 8160
    (48 cores & 96 threads)
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux

    • Single GPU Specifications:

  • Microarchitecture: Blackwell
  • CUDA Cores: 24,064
  • Tensor Cores: 752
  • GPU Memory: 96 GB GDDR7
  • FP32 Performance: 125.10
    TFLOPS

    • Advanced GPU VPS - RTX 5090


  • 96GB RAM
  • 32 CPU Cores
  • 400GB SSD
  • 500Mbps Unmetered
    Bandwidth

    • Once per 2 Weeks Backup

  • OS: Linux / Windows 10/
    Windows 11
  • Dedicated GPU: GeForce RTX 5090
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7
    TFLOPS


    • Enterprise GPU Dedicated Server - RTX 5090

  • 256GB RAM
  • GPU: GeForce RTX 5090
  • Dual 18-Core E5-2697v4
    (36 cores & 72 threads)
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux

    • Single GPU Specifications:

  • Microarchitecture: Blackwell 2.0
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7
    TFLOPS


    • ComfyUI Hosting vs AUTOMATIC1111 Hosting

    ComfyUI is a powerful and modular GUI for Stable Diffusion that lets you create advanced workflows using a node/graph interface. It is a great AUTOMATIC1111 alternative.

    Feature ComfyUI Hosting AUTOMATIC1111 Hosting
    Interface Type Node-based visual workflow editor Web-based UI with prompt input + menus
    Learning Curve Medium to high (for advanced workflows) Low (beginner-friendly)
    Customization Extremely modular (fine control of pipeline & logic) Limited customization unless with extensions
    Model Support Supports SDXL, LoRA, ControlNet, T2I Adapter, custom nodes Supports SDXL, LoRA, ControlNet, via extensions
    Best For Power users, automation pipelines, research workflows Artists, hobbyists, casual prompt-based generation
    Performance Optimization More efficient GPU usage via controlled graph execution Slightly heavier, but still well-optimized
    Workflow Sharing ✅ Native .json export/import for pipelines ❌ Limited; no native workflow graph export
    Batch / Multi-Stage Tasks ✅ Excellent for chained or batched generation ⚠️ More manual setup via scripts
    Community Plugins Growing ecosystem of custom nodes Mature plugin ecosystem
    Offline Use ✅ Fully supported ✅ Fully supported
      ✅ Explanation:

    4 Features of ComfyUI Hosting

    Modular & Visual Workflow Editing

    Modular & Visual Workflow Editing

    ComfyUI uses a node-based interface that lets users visually build and modify generation pipelines. Easily add LoRA, ControlNet, upscalers, or custom prompts—no coding needed.

    Supports Advanced Models & Extensions

    Supports Advanced Models & Extensions

    Seamlessly run SDXL, SD 1.5/2.1, LoRA, ControlNet, and other extensions. It's ideal for deploying experimental workflows and fine-tuned models efficiently on hosted infrastructure.

    GPU Optimization for Speed & Stability

    GPU Optimization for Speed & Stability

    ComfyUI is lightweight and efficient. It can be optimized to run on multi-GPU servers or RTX-class cards with half-precision (fp16) support, ensuring faster generation times and more concurrent jobs.

    Custom Templates & Workflow Sharing

    Custom Templates & Workflow Sharing

    Supports exporting and importing workflow files. Teams or creators can share ready-made ComfyUI templates across different hosted environments or projects.

    How to Install and Use ComfyUI

    ComfyUI is a powerful and modular GUI for Stable Diffusion that lets you create advanced workflows using a node/graph interface. It is a great AUTOMATIC1111 alternative. Let's learn how to install and get started with ComfyUI




    Order and login a GPU server



    Download, unzip and install ComfyUI on Windows



    Download a checkpoint model and run the ComfyUI (run_nvidia_gpu.bat)


    Visit ComfyUI in your browser and create your images.


    FAQs of ComfyUI Hosting

    The most commonly asked questions about ComfyUI hosting service below.

    What is ComfyUI?
    ComfyUI is a node-based graphical interface tool for running Stable Diffusion models. Similar to 'building Lego blocks', you can use it to combine various modules: image input, LoRA loading, ControlNet, post-processing, saving output, etc. It is very suitable for advanced users, developers or people who want to build complex workflows. You still need to download and load the actual models, for example: stabilityai/stable-diffusion-xl-base-1.0, runwayml/stable-diffusion-v1-5, or stabilityai/stable-video-diffusion.
    It depends on the model. For SDXL or SD 3.5, you’ll typically need at least 16–24GB of GPU VRAM (e.g., RTX 3090, A5000, or higher). SD 1.5 can run on 8–12GB cards.
    No. Simply open the URL provided in your DBM panel to access ComfyUI’s web interface. All computation runs on the hosted GPU server.
    Yes. You have full access to upload your own checkpoints, LoRA models, or other assets, and you can also download any models you’ve created or modified.
    Yes. ComfyUI supports .json workflow exports that can be easily shared, reused, or backed up—ideal for teams or repeatable tasks.
    Only for downloading models or extensions initially. After setup, ComfyUI can be run completely offline, making it suitable for secure or air-gapped environments.

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