check_circleCore Image Generation Modes
Supports text-to-image (txt2img), image-to-image (img2img), inpainting, outpainting, and post-processing tools like upscaling and face restoration.
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. DatabaseMart 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.
Choose Your Stable Diffusion WebUI Hosting Plans
Database Mart 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.
Flash Sale to June 4th
Advanced GPU Dedicated Server - RTX 3060 Ti
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Advanced GPU Dedicated Server - A5000
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Flash Sale to June 4th
Enterprise GPU Dedicated Server - RTX A6000
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A6000
- 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
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A40
- 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
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Multi-GPU Dedicated Server- 2xRTX 4090
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
New Arrival
Multi-GPU Dedicated Server- 2xRTX 5090
- 256GB RAM
- Dual Gold 6148
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 5090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 20,480
- Tensor Cores: 680
- GPU Memory: 32 GB 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 (1024x1024, 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 (512x512, 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 (1024x512, 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 (512x512, 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 (512x512, 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.
check_circleAdvanced Generation Features
Includes prompt matrices, X/Y/Z plots, textual inversion, hypernetworks, LoRA support, and checkpoint merging for enhanced creative control.
check_circleModel Management
Handles multiple model formats (.ckpt, .safetensors), automatic VAE detection, seamless model switching, and memory optimization settings.
check_circleSampler 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.
check_circleExtension 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.
check_circleConfiguration and Customization
Provides command-line arguments, a user-friendly settings UI, UI customization options, and persistent configuration storage for tailored workflows.
check_circleImage 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.
check_circlePerformance 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.
check_circleUser 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
Database Mart 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
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
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
With full root/admin access, you will be able to take full control of your dedicated GPU servers for deep learning very easily and quickly.
99.9% Uptime Guarantee
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for deep learning and networks.
Dedicated IP
One of the premium features is the dedicated IP address. Even the cheapest GPU dedicated hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.
24/7/365 Free Expert Support
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, without extra fee.
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
How to Install Stable Diffusion AUTOMATIC1111 on Ubuntu Linux
How to Install Stable Diffusion AUTOMATIC1111 on Windows
Stable Diffusion Prompt: a Definitive Guide
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 Comparison
| 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 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.
What is Stable Diffusion Web UI (SD WebUI)?
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.
What is the limitation of Stable Diffusion?
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.
What is AUTOMATIC1111 Stable Diffusion?
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.
What are the requirements for online Stable Diffusion?
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.
What are some examples of negative prompts in Stable Diffusion?
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.
Can I have a free trial for the Stable Diffusion cloud server before the payment?
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.