Stable Diffusion Hosting,
Optimized for SD WebUI Automatic1111

AUTOMATIC1111 Stable Diffusion Web UI (SD WebUI, A1111, or Automatic1111) is an open source generative artificial intelligence program that allows users to generate images from a text prompt. Infotronics Integrator's (I) Pvt. Ltd has the best budget GPU Servers for Stable Diffusion to ensure that you can harness the full potential of this remarkable AI model without hurting your wallet.

  • Windows or Linux OS
  • Full Root/Admin Access
  • Support RDP/SSH Access
  • Free 24/7/365 Expert Online Support
  • Servers Delivered within 20 to 40 Minutes

Choose Your Stable Diffusion WebUI Hosting Plans

Infotronics Integrators (I) Pvt. Ltd offers best budget GPU servers for Stable Diffusion Web UI. Cost-effective hosting of Stable Diffusion
cloud is ideal for hosting your own Automatic1111 Stable Diffusion service.

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 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: 48GB GDDR6
  • FP32 Performance: 38.71
        TFLOPS


    • Enterprise GPU Dedicated Server - A40

  • 256GB RAM
  • GPU: Nvidia A40
  • 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: 48GB GDDR6
  • FP32 Performance: 37.48
        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: 24GB GDDR6X
  • FP32 Performance: 82.6
        TFLOPS

    • Multi-GPU Dedicated Server- 2xRTX 4090

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

    • Single GPU Specifications:

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


    • Multi-GPU Dedicated Server- 2xRTX 5090

  • 256GB RAM
  • GPU: 2 x GeForce RTX 5090
  • Dual E5-2699v4
        (44 Cores & 88 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
        SATA
  • 1Gbps
  • OS: Windows / Linux

    • Single GPU Specifications:

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


    • Top NVIDIA GPUs for Stable Diffusion WebUI (AUTOMATIC1111)

    Based on the latest benchmarks and user experiences, here's an updated ranking of the NVIDIA GPUs for
    running Stable Diffusion WebUI (AUTOMATIC1111):
    GPU Model VRAM Average Iterations per Second (it/s) Notes
    RTX 5090 32 GB ~1.80–1.85 it/s (1024×1024, 20 steps) Latest generation GPU offering top-tier performance. Requires CUDA 12.8 and PyTorch nightly builds for optimal compatibility.
    RTX 4090 24 GB Up to 39.7 it/s (512×512, 20 steps) High-end consumer GPU with excellent performance. Achieves up to 39.7 it/s with PyTorch 2.0 and CUDA 11.8.
    RTX A6000 48 GB ~21.35 it/s Professional-grade GPU with massive VRAM, suitable for large batch processing and training.
    RTX A5000 24 GB ~1.9 it/s (1024×512, 30 steps) Offers a balance between performance and VRAM capacity. Performance may vary based on settings and optimizations.
    RTX A40 48 GB ~21.35 it/s Similar to the A6000 in terms of VRAM and performance, optimized for data center environments.
    RTX 4060 8 GB ~11.32 it/s (512×512, 20 steps) Mid-range GPU capable of running SDXL models efficiently. Limited VRAM may restrict high-resolution tasks.
    RTX 3060 Ti 8 GB ~6.19 it/s (512×512, 50 steps) Entry-level GPU for Stable Diffusion tasks. May require VRAM optimization techniques for complex models.
    Notes:
    • VRAM Requirements: For optimal performance with SDXL models and high-resolution image generation, a GPU with at least 12 GB of VRAM is recommended.
    • Software Optimization: Utilizing PyTorch 2.0 with CUDA 11.8 or newer, and appropriate command-line flags (e.g. --opt-sdp-attention), can significantly enhance performance.
    • Professional vs. Consumer GPUs: While professional GPUs like the A6000 and A40 offer substantial VRAM, consumer GPUs like the RTX 4090 provide excellent performance for most Stable Diffusion tasks at a more accessible price point.

    Key Features of Automatic1111 Stable Diffusion WebUI

    AUTOMATIC1111's Stable Diffusion WebUI is a comprehensive and user-friendly interface for AI image generation.

    Text-to-Image

    Core Image Generation Modes

    Supports text-to-image (txt2img), image-to-image (img2img), inpainting, outpainting, and post-processing tools like upscaling and face restoration.


    Image-to-Image

    Advanced Generation Features

    Includes prompt matrices, X/Y/Z plots, textual inversion, hypernetworks, LoRA support, and checkpoint merging for enhanced creative control.


    Inpainting

    Model Management


    Handles multiple model formats (.ckpt, .safetensors), automatic VAE detection, seamless model switching, and memory optimization settings.

    Upscaling

    Sampler and Scheduler Options

    Offers various samplers (e.g., Euler a, DPM++ 2M Karras, DDIM) and schedulers (e.g., Karras, Normal, Simple) to fine-tune image generation processes.


    Model Management

    Extension and API Support


    Features a robust extension system for adding new functionalities and a REST API for programmatic access, including headless mode and optional authentication.

    Parameter Tuning

    Configuration and Customization

    Provides command-line arguments, a user-friendly settings UI, UI customization options, and persistent configuration storage for tailored workflows.


    Extensions and Plugins

    Image Saving and Metadata Handling

    Automatically saves generation parameters within images (PNG chunks or EXIF data) and includes tools like the PNG Info tab for metadata retrieval.



    User-Friendly Interface

    Performance Optimization


    Supports various VRAM usage modes, precision controls, attention optimization techniques, and is compatible with a range of hardware, including NVIDIA, AMD, Intel GPUs, and Apple Silicon.

    Active Community Support

    User Interface Features


    Offers live previews, theme customization, informative tooltips, and a responsive design suitable for both desktop and mobile devices.



    Why Choose our GPU Server for SD WebUI Hosting

    Infotronics Integrators (I) Pvt. Ltd enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.

    Dedicated Nvidia GPU

    Dedicated Nvidia GPU

    When you rent a GPU server, whether it's a GPU dedicated server or GPU VPS, you benefit from dedicated GPU resources. This means you have exclusive access to the entire GPU card.

    Premium Hardware

    Premium Hardware

    Our GPU dedicated servers and VPS are equipped with high-quality NVIDIA graphics cards, efficient Intel CPUs, pure SSD storage, and renowned memory brands such as Samsung and Hynix.

    Full Root/Admin Access

    Full Root/Admin Access

    With full root/admin access, you will be able to take full control of your dedicated GPU servers for Stable Diffusion very easily and quickly.

    99.9% Uptime Guarantee

    99.9% Uptime Guarantee

    With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for Stable Diffusion hosting service.

    Dedicated IP

    Dedicated IP

    One of the premium features is the dedicated IP address. Every dedicated hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.

    24/7/365 Technical Support

    Technical Troubleshooting

    Our dedicated support team is comprised of experienced professionals. From initial deployment to ongoing maintenance and troubleshooting, we're here to provide the assistance you need, whenever you need it.

    How to Run Stable Diffusion Automatic1111 Online

    We will go through how to install the popular Stable Diffusion WebUI AUTOMATIC1111 on Windows/Linux step-by-step.




    Install Python and Git



    Clone SD WebUI AUTOMATIC1111



    Download SD Model Files



    Run SD WebUI AUTOMATIC1111



    Feature Comparison: AUTOMATIC1111 vs. ComfyUI vs. Fooocus

    Here's a comprehensive comparison of AUTOMATIC1111 (A1111), ComfyUI, and Fooocus—three prominent interfaces
    for Stable Diffusion. Each caters to different user needs, ranging from beginners to advanced users seeking
    granular control.
    Feature
    AUTOMATIC1111 (A1111)
    ComfyUI
    Fooocus
    User Interface Gradio-based, tabbed layout (txt2img, img2img, etc.) Node-based visual programming interface; users create workflows by connecting nodes Gradio-based with a simplified layout; includes an "Advanced" tab for customization
    Ease of Use Beginner-friendly; suitable for quick setup and image generation Steeper learning curve; ideal for users familiar with diffusion models seeking advanced customization Highly beginner-friendly; designed for users seeking a straightforward tool for generating high-quality AI art
    Workflow Customization Limited to predefined workflows with some flexibility through extensions Highly customizable workflows; users can design complex pipelines using nodes Limited customization; primarily focused on simplicity and ease of use
    Performance Higher VRAM consumption; may experience slower generation times under heavy loads Optimized for performance; lower VRAM usage and faster generation times Optimized for simplicity; may have limitations with intricate workflows or highly detailed customizations
    Inpainting Workflow Integrated and user-friendly; allows iterative edits with ease More complex; requires manual masking and re-uploading for iterative edits Limited inpainting precision; not ideal for detailed edits
    Extension Support Extensive community-driven extensions available, enhancing functionality Supports custom nodes and extensions, allowing for tailored functionalities Lacks support for extensions; focuses on out-of-the-box functionality
    Community & Development Large user base with extensive documentation and support Rapidly growing community; active development with frequent updates Active development; designed to streamline the creative process for beginners
    Best Suited For Users seeking a straightforward, out-of-the-box solution for image generation Users aiming for detailed control over the image generation process and custom workflows Beginners or those seeking a straightforward tool for generating high-quality AI art
    📝 Summary
    • AUTOMATIC1111 (A1111): Ideal for beginners or those who prefer a plug-and-play experience. It offers a user-friendly interface with essential features for image generation, making it suitable for quick tasks and iterative edits.
    • ComfyUI: Best suited for advanced users who desire complete control over their image generation workflows. Its node-based system allows for intricate customizations, making it a powerful tool for complex projects.
    • Fooocus: Designed for simplicity and ease of use, Fooocus is perfect for beginners or users who want to generate high-quality images without delving into complex settings. However, it may lack the flexibility and advanced features found in A1111 and ComfyUI.

    FAQs of Stable Diffusion Web UI Hosting

    The most commonly asked questions about GPUMart Stable Diffusion Automatic1111 hosting service below.

    What is Stable Diffusion?
    Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt.
    Stable Diffusion WebUI is a user-friendly graphical interface designed to make it easier to work with the Stable Diffusion model, which is a text-to-image diffusion model developed by Stability AI. The WebUI (short for Web User Interface) allows users to generate images from text prompts, manipulate the model's parameters, and apply various customizations without needing to interact directly with code.
    While Stable Diffusion has several advantages in image editing, it also has limitations. It can be computationally intensive and time-consuming, especially when dealing with large images or videos. The quality of the results may vary depending on the input data and the network parameters used.
    Automatic1111 is a popular open-source web interface for working with Stable Diffusion, a powerful text-to-image generation model. Developed by a community contributor known as Automatic1111, this WebUI version has gained significant traction due to its extensive features, customizability, and active community support.
    Your PC should run Windows 10/Ubuntu 20.04 or higher with a discrete Nvidia video card (GPU) with 6 GB VRAM or more. An integrated GPU will not work.
    Some examples of negative prompts in Stable Diffusion include ugly, boring, bad anatomy, blurry, pixelated, trees, green, obscure, unnatural colors, poor lighting, dull, and unclear.
    Yes. You can enjoy a 3-day free trial if you leave us a "3 days trial" note when you place your Stable Diffusion hosting order.

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