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    imAgine-eCloudrover AIGC text to image solution (Free Version)

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    eCloudrover provides an out-of-the-box AIGC solution for text-to-image and image-to-image generation, which can help customers quickly generate artistic materials such as pictures and posters. The core of this solution is an AMI based on Deep Learning AMI GPU PyTorch 1.13.1 (Ubuntu 20.04), which is installed with Stable Diffusion WebUI and integrated with Stable Diffusion 1.5 and ControlNet models.
    Listing Thumbnail

    imAgine-eCloudrover AIGC text to image solution (Free Version)

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    Overview

    Stable Diffusion is a text-to-image and image-to-image generation model based on Latent Diffusion Models, which can generate high-quality, high-resolution, and highly realistic images based on any text or image input.

    eCloudrover provides an out-of-the-box AIGC solution for text-to-image and image-to-image generation, which can help customers quickly generate artistic materials such as pictures and posters.

    The core of this solution is an AMI based on Deep Learning AMI GPU PyTorch 1.13.1 (Ubuntu 20.04), which is installed with Stable Diffusion WebUI and integrated with Stable Diffusion 1.5 and ControlNet models.

    In this AMI, we also deploy an Nginx application to forward requests from port 80 to port 7860 of Stable Diffusion WebUI. Both Nginx and SD-WebUI are configured to start automatically at boot. When you first start an EC2 instance from the AMI, you may need to wait for 10-15 minutes for Stable Diffusion to load and compile models.

    With Stable Diffusion WebUI, you can easily perform text-to-image and image-to-image operations on the web page. By installing WebUI plugins, you can also achieve a higher degree of customization, such as Fine-Tune the model through Dreambooth, import third-party VAE/Lora models, etc.

    For the convenience of Chinese speakers, we have installed a Chinese plugin for WebUI by default, which can be disabled on the WebUI.

    We have installed the ControlNet model for you by default, which can enhance your control over text-to-image and image-to-image generation through edge detection, depth detection, human pose recognition, etc., making the generated images more in line with your expectations.

    We strongly recommend that customers run this solution on EC2 instances with GPUs, and we recommend that your EC2 instance type be no less than g4dn.2xlarge or g5.2xlarge. This AMI does not support ARM-based CPUs.

    Highlights

    • One-click subscription and one-click start, quickly build a Stable Diffusion environment on the cloud without complicated configuration processes.
    • Provide comprehensive technical support to help inexperienced customers accelerate their business development with AI. (If you have any technical support needs, please contact us.)

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (g4dn.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $0.752/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    imAgine-eCloudrover AIGC text to image solution (Free Version)

     Info
    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.

    Usage costs (15)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    g4dn.xlarge
    $0.00
    $0.526
    $0.526
    g4dn.2xlarge
    Recommended
    $0.00
    $0.752
    $0.752
    g4dn.4xlarge
    $0.00
    $1.204
    $1.204
    g4dn.8xlarge
    $0.00
    $2.176
    $2.176
    g4dn.12xlarge
    $0.00
    $3.912
    $3.912
    g4dn.16xlarge
    $0.00
    $4.352
    $4.352
    g4dn.metal
    $0.00
    $7.824
    $7.824
    g5.xlarge
    $0.00
    $1.006
    $1.006
    g5.2xlarge
    $0.00
    $1.212
    $1.212
    g5.4xlarge
    $0.00
    $1.624
    $1.624

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    No refund.If you have any product questions, please refer to the solution manual. Or get in touch with us at Solution-Support@ecloudrover.com .

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    Happy Chinese New Year! Update New Models.

    Additional details

    Usage instructions

    The following is a step-by-step guide on how to start an EC2 instance to run the Stable Diffusion WebUI service after subscribing to the AMI:

    1. Navigate to the MarketPlace Subscription page, find the "Stable Diffusion WebUI with ControlNet - eCloudrover" subscription and click the "Launch new instance" button below.
    2. On the Launch new instance page, make sure the Region is the one you need, and click "Continue to launch through EC2".
    3. In the Launch an instance interface, pay attention to the following parameters: 3.1. Instance type: g4dn.xlarge is the minimum requirement, and we recommend using g4dn.2xlarge or g5.2xlarge or higher; 3.2. Key pair: If you need to use an SSH client to connect to the server for operation and maintenance, you must specify a Key pair; 3.3. Auto-assign public IP: Please edit "Networking settings" and select "Auto-assign public IP" as "Enable"; 3.4. Firewall (security groups): Please keep port 80 open; if you need to use an SSH client to connect to the server for operation and maintenance, you also need to keep port 22 open; 3.5. Configure storage: We recommend that you choose a gp3 Root volume of 100 GB or more.
    4. After configuring, click "Launch instance". When the "Instance state" of the EC2 instance displays "Running", you can access the Public IP of the EC2 instance. (Please note to use HTTP access, HTTPs will display "ERR_CONNECTION_CLOSED")
    5. You will be prompted to enter a username and password to log in to the WebUI. The username is "webui" and the password is the Instance ID of the EC2 server.
    6. If you see "AIGC WebUI service starting... It takes some time to start up for the first time" when you access the Public IP, please wait patiently for 10-15 minutes. The first startup of the server requires waiting for the Stable Diffusion environment configuration and model loading.

    Resources

    Vendor resources

    Support

    Vendor support

    Service support website: https://www.ecloudrover.com/aigc/ , Service support telephone: +86 400-002-0885, Service support email: Solution-Support@ecloudrover.com 

    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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