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    Stable Diffusion - Create Stunning Images on Your Windows GPU Server

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    Render stunning Stable Diffusion images independently on your AWS Windows Cloud GPU server with great performance
    Listing Thumbnail

    Stable Diffusion - Create Stunning Images on Your Windows GPU Server

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    Overview

    Stable Diffusion allows to render beautifully stunning images based on text or image input independently on your own AWS Windows cloud server with great performance.

    Optimized to support large images with automatic upscaling. Uses GFPGAN to beautify faces.

    Stable Diffusion creates images similar to Midjourney or OpenAI DALL-E.

    Supports text2image as well as img2img to create impressive images based on other images with a guidance prompt controlling the influence on the generated image.

    Leverages the Automatic Stable Diffusion bundle and GUI including built-in upscaling (ESRGAN, LDSR, ...), face restoration (GFPGAN, Codeformer, ...), inpainting, outpainting, textual inversion and many other powerful features as the most versatile Stable Diffusion integration.

    Supported versions: Stable Diffusion 1.4 and 2.1.

    Supports T4 GPUs with 16 GB of VRAM (g4dn family) and powerful A10 GPUs with 24 GB (g5 family).

    Access the huge prompt and image library libraire.ai to get ideas for your own prompts and create new impressive images.

    Uses DCV from AWS to offer high-end remote desktop. You can upload and download images created via the DCV interface.

    This is a collaborative project of NI SP and AI SP.


    More background on Stable Diffusion and license:

    Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, they were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM. See this section below and the model card. Stable Diffusion was trained on AWS GPU servers.

    Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder for the diffusion model. The model was pretrained on 256x256 images and then finetuned on 512x512 images.

    Note: Stable Diffusion v1 is a general text-to-image diffusion model and therefore mirrors biases and (mis-)conceptions that are present in its training data. Details on the training procedure and data, as well as the intended use of the model can be found in the corresponding model card.

    The weights are available via the CompVis organization at Hugging Face under a license which contains specific use-based restrictions to prevent misuse and harm as informed by the model card, but otherwise remains permissive. While commercial use is permitted under the terms of the license, we do not recommend using the provided weights for services or products without additional safety mechanisms and considerations, since there are known limitations and biases of the weights, and research on safe and ethical deployment of general text-to-image models is an ongoing effort. The weights are research artifacts and should be treated as such.

    The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. See also the article about the BLOOM Open RAIL license on which our license is based.

    Highlights

    • With your own GPU cloud server you can render stunning images leveraging Stable Diffusion neural networks including high-end upscaling and optimization of faces
    • Image to Image offers enhancing existing images with a descriptive prompt even from doodles
    • Leverage T4 GPUs with 16 GB or A10 with 24 GB of GPU memory and high performance to render images with larger resolutions

    Details

    Delivery method

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

    Latest version

    Operating system
    Win2019 Windows 2019

    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

    $1.22/hour

    Pricing

    Stable Diffusion - Create Stunning Images on Your Windows GPU Server

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    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
    $0.07
    $0.71
    $0.78
    g4dn.2xlarge
    Recommended
    $0.10
    $1.12
    $1.22
    g4dn.4xlarge
    $0.19
    $1.94
    $2.13
    g4dn.8xlarge
    $0.36
    $3.648
    $4.008
    g4dn.12xlarge
    $0.60
    $6.12
    $6.72
    g4dn.16xlarge
    $0.70
    $7.296
    $7.996
    g4dn.metal
    $1.20
    $12.24
    $13.44
    g5.xlarge
    $0.09
    $1.19
    $1.28
    g5.2xlarge
    $0.15
    $1.58
    $1.73
    g5.4xlarge
    $0.19
    $2.36
    $2.55

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    No refund

    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

    Includes Diffusion1.5_AUTOVLAD_Controlnet1.1. Vlad/Automatic SD with WebGui with Torch 2.0 and CUDA 11.8. Updated to latest and much faster SD Web GUI with controlnet, redundant token merging for faster batches, extension manager, depth map creation, merging of checkpoints, Lora support, dreambooth training and much more. Further Windows security fixes.

    Recommended instance type including enough RAM memory: at least g4dn.2xlarge.

    Additional details

    Usage instructions

    1. Make sure the instance security groups allow inbound traffic to TCP port 8843 (and optionally UDP port 8443).
    2. Connect to your remote machine by connection with the web browser to https://PUBLIC_DNS:8443 or https://EXTERNAL_IP:8443 or use the NICE DCV client
    3. Authenticate using user Administrator and the password you can find in the EC2 console when clicking the "Connect" option of the instance.

    See also our guide at https://www.ni-sp.com/how-to-run-stable-diffusion-on-your-own-cloud-gpu-server/ . You can also connect with RDP in case preferred.

    More about DreamShaper including examples: https://civitai.com/models/4384/dreamshaper 

    To change the theme in WebGui: Settings -> User Interface -> Select Theme in the upper pulldown -> Apply Settings -> Restart UI

    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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    Ratings and reviews

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    1 AWS reviews
    Astrid

    Super easy setup and access

    Reviewed on Mar 01, 2023
    Purchase verified by AWS

    The setup and launch of the server is super easy thanks to the provided instructions and prepopulated default settings. Thanks to the preinstalled Nice DCV Remote Desktop software the access to the Windows server works seamlessly and smooth. The stable diffusion software is also preinstalled and works as expected.

    View all reviews