Intel Xeon CPU
Intel Xeon has extraordinary processing power and speed, which is very suitable for running deep learning frameworks. So you can totally account on our Intel-Xeon-powered GPU servers for Stable Diffusion.
Stable Diffusion Hosting, Host Your Own Stable Diffusion
Stable Diffusion allows you to render stunningly beautiful images based on text or image input on your own GPU servers with great performance. GPUMart has taken the time to compile a list of 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 Hosting Plans
GPUMart offers best budget GPU servers for Stable Diffusion. Cost-effective hosting of Stable Diffusion cloud is ideal for hosting your own Stable Diffusion service.
Professional GPU-RTX 2060
$ 159.00/m
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- 120GB + 960GB SSD
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- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 2060report
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 1920
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPSreport
Advanced GPU-RTX 3060 Ti
$ 209.00/m
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- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 3060 Tireport
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 4864
- GPU Memory: 8GB GDDR6
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October Sale
Advanced GPU-A4000
$ 146.30/m
30% OFF (Was $209.00)
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
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- OS: Windows / Linux
- GPU: Nvidia RTX A4000report
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPSreport
- For new orders only! Limit one per client.
Advanced GPU-A5000
$ 269.00/m
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
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- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia RTX A5000report
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 8192
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPSreport
Enterprise GPU-RTX A6000
$ 409.00/m
1M3M12M24M
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- OS: Windows / Linux
- GPU: Nvidia RTX A6000report
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPSreport
New Arrival
Enterprise GPU-A40
$ 369.00/m
1M3M12M24M
Order Now- 256GB RAM
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- OS: Windows / Linux
- GPU: Nvidia A40report
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 37.48 TFLOPSreport
New Arrival
Enterprise GPU-V100
$ 369.00/m
1M3M12M24M
Order Now- 256GB RAM
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- OS: Windows / Linux
- GPU: Nvidia V100report
- Microarchitecture: Volta
- Max GPUs: 1
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPSreport
New Arrival
Enterprise GPU-RTX 4090
$ 409.00/m
1M3M12M24M
Order Now- 256GB RAM
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- 240GB SSD + 2TB SSD + 2TB NVMe
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: GeForce RTX 4090report
- Microarchitecture: Ada Lovelace
- Max GPUs: 1
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPSreport
6 Reasons to Choose our GPU Servers for Stable Diffusion
GPUMart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
SSD-Based Drives
You can never go wrong with our own top-notch dedicated GPU servers for Stable Diffusion, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and 128 GB of RAM per server.
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
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for Stable Diffusion hosting service.
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
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.
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Prompt
The first thing that we need to do is to write the prompt. A prompt is a text string that we submit to the system so that it can create an image for you.
The first thing that we need to do is to write the prompt. A prompt is a text string that we submit to the system so that it can create an image for you.
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Model
The outputs of a prompt might differ regarding different models of Stable Diffusion you use. Go to CompVis or Stable Diffusion Art and download any model you like.
The outputs of a prompt might differ regarding different models of Stable Diffusion you use. Go to CompVis or Stable Diffusion Art and download any model you like.
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Steps
Think of steps as iterations of the image creation process. With every iteration, the system changes the image by adding more details to the existing visual composition or changing the image itself. The default sampling step is 30, which is a relatively low number of steps.
Think of steps as iterations of the image creation process. With every iteration, the system changes the image by adding more details to the existing visual composition or changing the image itself. The default sampling step is 30, which is a relatively low number of steps.
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Seed
Seed is one of the most critical settings in Stable Diffusion. Once you generate an image you like and want to adjust it slightly to make it look perfect, you can save the number of images in the field Seed.
Seed is one of the most critical settings in Stable Diffusion. Once you generate an image you like and want to adjust it slightly to make it look perfect, you can save the number of images in the field Seed.
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Width and Height
By default, Stable Diffusion generates images in sizes 512 by 512 pixels. You will get the most consistent result when you apply this size. You can change the size, but it will require more computational power.
By default, Stable Diffusion generates images in sizes 512 by 512 pixels. You will get the most consistent result when you apply this size. You can change the size, but it will require more computational power.
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CFG Scale
This setting says how close the Stable Diffusion will listen to your prompt. Lowering the scale to zero means that AI considers only some parts of the prompt. When we up the scale to the max, AI follows the prompt strictly. Usually, it’s better not to make the scale too high and to choose a value around 15.
This setting says how close the Stable Diffusion will listen to your prompt. Lowering the scale to zero means that AI considers only some parts of the prompt. When we up the scale to the max, AI follows the prompt strictly. Usually, it’s better not to make the scale too high and to choose a value around 15.
How to Run Stable Diffusion 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 WebUI AUTOMATIC1111
Download Model Files
Run WebUI AUTOMATIC1111
Useful Articles for Stable Diffusion Practice
How to Install Stable Diffusion AUTOMATIC1111 on Ubuntu Linux
How to Install Stable Diffusion AUTOMATIC1111 on Windows
Stable Diffusion Prompt: a Definitive Guide
FAQs of Stable Diffusion Hosting
The most commonly asked questions about GPUMart Stable Diffusion cloud 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.
How are people using Stable Diffusion?
One of the most popular uses of Stable Diffusion is to generate realistic people. They can look as real as taken from a camera.
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?
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 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.
Contact Us and Get a 3-Day Trial Now!
Leave us a note when purchasing, or contact us to apply a trial GPU server. You have enough time to test the performance, network latency, compatibility, multiple instance capacity, etc.
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