AI Image Generator, Host Your Own Text to Image Application

AI Image Generator, can help with branding, social media content creation, and making invitations, flyers, business cards, etc. Building your own AI Image Generator can provide customization, integration, business advantages, research opportunities, and cost-effectiveness. GPUMart helps you easily realize this dream.

Choose Your GPU Plans for AI Image Generator

Select from a range of GPU hosting plans tailored to your AI image generation needs, whether you're looking to implement specific image generation capabilities or push the boundaries of AI image generation technology.
Spring Sale

Basic GPU - RTX 4060

104.3/mo
Save 42% (Was $179.00)
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  • 64GB RAM
  • Eight-Core E5-2690report
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia GeForece RTX 4060
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2report
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPSreport
  • Powerful for Gaming, Streaming, Video Editing, Emulators, Rendering.

    Cost-Effective Choice for AI, Deep Learning.

Advanced GPU - RTX 3060 Ti

179.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPSreport
Spring Sale

Advanced GPU - A4000

169/mo
Save 39% (Was $279.00)
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  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A4000
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPSreport
  • Good Choice for 3D Rendering, Video Editing, AI/Deep Learning, Data Science, etc

Advanced GPU - V100

229.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2690v3report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 1
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPSreport

Advanced GPU - A5000

269.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2697v2report
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 2report
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPSreport

Enterprise GPU - RTX A6000

409.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPSreport

Enterprise GPU - RTX 4090

409.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 1
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPSreport

Multi-GPU - 2xRTX 4090

639.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4report
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2report
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPSreport

Why Choose our GPU Servers for AI Image Generator

Selecting the right GPU server for an AI image generator involves careful consideration of several factors, including price, stability, technical support, scalability, and customization options.
Intel Xeon CPU

GPU Selection

The choice of GPU is critical for AI image generation, as different models offer varying levels of performance, memory, and power consumption. We provide a rich selection of mid-to-high-end GPUs, multi-GPUs for you to choose from.
Support Customization Options

Customization Options

Depending on the specific requirements of your AI project, you may need a customized server solution. Look for providers that offer tailored configurations to meet specific performance and budget needs.
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. Even the cheapest GPU hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.
24/7/365 Technical Support

24/7/365 Technical Support

GPUMart provides round-the-clock technical support to help you resolve any issues related to Stable Diffusion cloud.

Create Stunning Images Using Stable Diffusion

Stable Diffusion is a text-to-image model. It is primarily used to generate detailed images based on text descriptions. Stable Diffusion is an excellent alternative to tools like Midjourney and DALLE-2.

Use high-quality prompts

Use high-quality prompts that are specific, descriptive, and well-structured. This will help the model generate more accurate and realistic images.

Experiment with different models

Try different Stable Diffusion models, such as the original model or variants like the StableDiffusion model, to generate images with different styles and characteristics.

Adjust the model parameters

Experiment with different model parameters, such as the number of iterations, to control the level of detail and realism in the generated image.

Experiment with different image sizes

Try generating images of different sizes to see what works best for your specific use case.

Use a high-performance GPU

Stable Diffusion is a computationally intensive process. Use a high-performance GPU to accelerate the generation process.

Post-processing is key

Apply post-processing techniques, such as resizing, normalization, and color correction, to enhance the generated image.

How to Choose a WebUI for Stable Diffusion

In the open-source community of Stable Diffusion, the presence of numerous WebUIs offers a rich selection. Choosing a WebUI that meets your needs is crucial for effectively utilizing Stable Diffusion.
Top stable diffusion webui on Github

Top 1. Stable Diffusion WebUI

Learning Difficulty: ⭐⭐⭐

Features: As the foundational WebUI of the open-source community, SD WebUI serves as a bridge for many non-technical users to access and use Stable Diffusion. Numerous developers have contributed various plugins to this platform, greatly enriching its functionality. For beginners to Stable Diffusion, SD WebUI is an essential learning tool.

test1 prompt screenshot

Top 2. ComfyUI

Learning Difficulty: ⭐⭐⭐⭐⭐

Features: ComfyUI has a steep learning curve, requiring users to have a deep understanding of the Diffusion model principles and various parameters. It allows users to customize workflows based on their needs, offering more flexibility and efficiency than SD WebUI for experienced users. Additionally, plugins developed specifically for ComfyUI continuously expand its functionality and range of applications.

default ComfyUI startup page

Top 3. Fooocus

Learning Difficulty: ⭐

Features: Fooocus is the easiest to use among all WebUIs, designed with the philosophy of Midjourney in mind. Users only need to focus on Prompts and Images. It provides basic image upscaling and ControlNet functionality, meeting most basic image generation needs. For users who prefer simplicity, Fooocus is an ideal choice.

Fooocus advanced features

FAQs of AI Image Generator Hosting

The most commonly asked questions about GPUMart text to image hosting service below.

What is Stable Diffusion?

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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 AI image generator?

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AI image generator refers to a type of artificial intelligence (AI) technology that uses machine learning algorithms to generate new images from scratch or from existing images. These generators can produce a wide range of images, including realistic photographs, artwork, and even videos.

What are the best WebUI Choices For Stable Diffusion WebUI?

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Stable Diffusion is a powerful AI image generation model, and having a good WebUI can make it even more accessible and user-friendly. The best WebUI choices for Stable Diffusion include Automatic1111, Fooocus, Comfyui, etc.

What is AUTOMATIC1111?

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Automatic1111 provides an open-source Stable Diffusion UI dashboard built on top of Gradio. With more than 350 active contributors, it brings in some of the latest advancements in Generative AI space to its users.

What is ComfyUI?

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ComfyUI is a user interface (UI) for generating text-to-image art using Stable Diffusion models. It offers more flexibility and control than Automatic1111, making it a better choice for advanced users who want more control over the image generation process.

What is Fooocus?

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Fooocus is an image generating software that uses artificial intelligence (AI) to create stunning, high-quality images from text prompts. It runs Stable Diffusion offline with a simple and easy-to-use user interface. It’s open-source and completely free to use.

What are the minimum requirements for Automatic1111 Stable Diffusion?

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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 the minimum requirements for Fooocus?

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Before installing Fooocus, it is crucial to ensure that your system meets the necessary requirements for smooth operation. Note that the minimal requirement is 4GB Nvidia GPU memory (4GB VRAM) and 8GB system memory (8GB RAM).

What are the minimum requirements for ComfyUI?

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The minimum requirements for ComfyUI are: An Nvidia RTX GPU with at least 8 GB of VRAM, A modern processor (Intel Xeon E5 or i5 or Ryzen 5 or higher), 16+ GB RAM, Windows 10/11 or Linux, and sufficient storage space on your PC for models and generated images.