
Overview
We prioritized customizability to offer a flexible base to build upon. To achieve this, we integrated Query-Key Normalization into the transformer blocks, stabilizing the model training process and simplifying further fine-tuning and development.
Greater variation in outputs from the same prompt with different seeds may occur, which is intentional as it helps preserve a broader knowledge-base and diverse styles in the base models.
Highlights
- Customizability: Easily fine-tune the model to meet your specific creative needs, or build applications based on customized workflows.
- Efficient Performance: Optimized to run on standard consumer hardware without heavy demands, especially the Stable Diffusion 3.5 Medium and Stable Diffusion 3.5 Large Turbo models.
- Diverse Outputs: Creates images representative of the world, not just one type of person, with different skin tones and features, without the need for extensive prompting. Versatile Styles: Capable of generating a wide range of styles and aesthetics like 3D, photography, painting, line art, and virtually any visual style imaginable.
Details
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g4dn.12xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.12xlarge instance type, batch mode | $0.00 |
ml.p5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5.48xlarge instance type, real-time mode | $136.98 |
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Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
The initial relase of Stable Diffusion 3.5 Large
Additional details
Inputs
- Summary
"prompt": String, content to generate. Required.
"negative_prompt": String, unwanted content.
"mode": 'text-to-image' or 'image-to-image'. Default: 'text-to-image'.
"strength": Float in [ 0 .. 1 ]. Required if mode 'image-to-image'.
"seed": Integer in [ 0 .. 4294967294 ]. Default: 0.
"output_format": png or jpeg. Default: png
"image": Required for mode 'image-to-image'.
"aspect_ratio": In "16:9", "1:1", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21". Default: "1:1".
- Limitations for input type
- Long prompts will be truncated to the inital 10000 characters. Connections held open for more than 60s will be dropped.
- Input MIME type
- application/json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
prompt | A string describing the content to be generated. We recommend using descriptive prompts in natural language. Any prompt with more than 10000 characters will be truncated to the initial 1000 characters. Prompts will also be moderated for content. Required. | Type: FreeText
Limitations: Long prompts will be truncated to the initial 10000 characters. | Yes |
negative_prompt | A string describing content that is not wanted in the generated image. The generation will be "steered away" from this content. Optional. | Default value: None
Type: FreeText
Limitations: Long negative prompts will be truncated to the initial 10000 characters. | No |
mode | One of 'text-to-image' or 'image-to-image'. Describes whether the generation takes an initial image as well as a prompt. Defaults to 'text-to-image'. Optional. | Default value: 'text-to-image'
Type: FreeText
Limitations: One of 'text-to-image' or 'image-to-image'. | No |
strength | A float in [ 0 .. 1 ]. Sometimes referred to as denoising, this parameter controls how much influence the image parameter has on the generated image. A value of 0 would yield an image that is identical to the input. A value of 1 would be as if you passed in no image at all. This is only used for image-to-image requests. Required if mode is 'image-to-image'. | Default value: 1.0
Type: Continuous
Minimum: 0
Maximum: 1.0 | No |
seed | An integer in [ 0 .. 4294967293]. Used to initialize the random processes used to generate the image. Fixing the seed ensures that the image generation is reproducible. A seed of 0 means that a new seed will be selected randomly from the available range each time. Defaults to 0. Optional. | Default value: 0
Type: Integer
Minimum: 0 | No |
output_format | One of png or jpeg. Defaults to png. Determines the type of the returned image. Optional.
| Default value: png
Type: Categorical
Allowed values: png, jpeg | No |
image | Used to pass in an initial image if mode is 'image-to-image'. The image should be a base64 encoded jpeg, png or webp. Required if mode is 'image-to-image'. | Default value: Required only if mode is 'image-to-image'.
Type: FreeText
Limitations: SHould be a base64 encoded jpeg, png or webp image. Every side must be at least 64 pixels. | No |
aspect_ratio | A string in "16:9", "1:1", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21". Determines the shape of the generated image. For best results, choose a shape appropriate to your required image, such as portrait, landscape, or a longer banner shape for text. Defaults to "1:1". Optional. | Default value: "1:1"
Type: Categorical
Allowed values: "16:9", "1:1", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21" | No |
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Customer reviews
Stable diffusion review
The Best advanced image model out there
Better way to transform personal ideas into reality
One thing I would love to do is create a simpler front-end to SD where my customer could type prompts and select the images to order products :)