Sold by: Withywindle
Deployed on AWS
Withywindle Stable Diffusion WebUI enables users to launch a GPU optimized EC2 instance and use Stable Diffusion models to generate new images and train new models from existing images.
Overview
Withywindle Stable Diffusion WebUI enables users to launch a GPU optimized EC2 instance and use Stable Diffusion models to generate new images and train new models from existing images.
The image includes the Dreambooth extension and a vae-ft-mse checkpoint as well as a variety of popular StableDiffusion models. All StableDiffusion models licensed for use under https://huggingface.co/spaces/CompVis/stable-diffusion-license .
Highlights
- Generate AI images from a text prompt
- Train custom AI models from your own data
- Upscale and modify existing images with AI
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g5.2xlarge Recommended | $0.10 |
g5.16xlarge | $0.18 |
g3s.xlarge | $0.08 |
g5.8xlarge | $0.16 |
g5.4xlarge | $0.12 |
Dimensions summary
You pay by the hour for the GPU instance size you run. All five options bill on the same usage-based model, so charges depend on the runtime, not an upfront commitment. The dimensions map to different EC2 GPU instance types, letting you match compute power to your workload. The g3s.xlarge suits lighter needs. The g5.2xlarge, g5.4xlarge, g5.8xlarge, and g5.16xlarge step up in size for heavier image generation. Pricing scales as you choose a larger instance and as you keep it running longer. You can stop the instance to stop hourly charges.
Top-of-mind questions for buyers
Each option maps to an EC2 GPU instance type. The g3s.xlarge provides a single lighter GPU. The g5 sizes carry more GPU and memory, with g5.2xlarge through g5.16xlarge scaling up processing power for heavier or faster image generation. You pick the instance that fits your workload.
Software charges meter running instance-hours only. When you stop the instance, hourly software charges stop. Underlying AWS storage fees may still apply while the instance exists in a stopped state, but the WebUI software bills running time. Restart the instance to resume generation.
You subscribe on AWS Marketplace, then launch the instance in your chosen region. After launch, you connect over SSH, set up a secure certificate, and log in to the WebUI through your browser. From there you enter a text prompt to generate images. Setup does not add software charges.
www.withywindlefarms.com
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Updated Automatic111 WebUI
- Updated GCC
- Updated CUDA
Additional details
Usage instructions
This image consists of an Ubuntu server with a recent build of AUTOMATIC111 Stable Diffusion WebUI and a small assortment of AI models.
The WebUI will automatically run on port 7860 of the launched instance. The WebUI may take 10-20 minutes to become available as the large models are copied into memory from freshly created EBS.
SSH runs on port 22 and the login user is "ubuntu". The default security group configuration only allows port 22 ingress.
We recommend that you configure secure access to the WebUI by taking the following steps:
- Configure a DNS record for your instance, either through AWS Route53 or another provider
- Configure the instance security group to allow 0.0.0.0/0 ingress on port 80. (WebUI is not yet routed from port 80 and Nginx will display a default page.)
- SSH to the instance and execute the shell script found at '/home/ubuntu/bin/certbot-init.sh yoursubdomain.example.com'. Make sure to include the DNS record that you have created as an argument and not 'example.com'.
You can also provide your DNS name in the instance user-data in order to configure HTTPS at instance launch time. Make sure to include the DNS record that you have created as an argument and not 'example.com'.
----EXAMPLE-USERDATA----
#cloud-config runcmd:
- [ sh, -c, "/home/ubuntu/bin/certbot-init.sh subdomain.example.com" ]
----EXAMPLE-USERDATA----
- Modify the instance security group rules to allow ingress on port 80, 443 and 22 and only allow your IP or network. We do not recommend that you make the WebUI available to the public Internet by allowing 0.0.0.0/0.
Once HTTPS is configured and the security group is modified, the Stable Diffusion webUI will be available at your domain:
https://<subdomain.example.com>/
The web interface is authenticated. Your username is 'sd_webui' and the password is the same as the instance-id. You can find the instance-id in the EC2 Console or by connecting to the instance over SSH and running 'ec2metadata --instance-id'.
Note: We recommend that you disable 'Advanced Tracking Protection' and 'Duck Duck Go Privacy Essentials' browser extensions as they interfere with the function of the WebUI.
Additional Usage Notes can be found at https://www.withywindlefarms.com/stablediffusion_webui_usage.html
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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