Stable Image Core
Stable Image Core is Stability AI's text-to-image generation model designed to produce high-quality visuals from descriptive text prompts.
Stability Text-to-image generation from natural language prompts
Stable Image Core is a text-to-image generation model developed by Stability AI, designed to convert natural language descriptions into detailed visual imagery. It accepts text prompts of up to 77 tokens and produces images across a range of styles and subjects. The model is available through both the Stability AI API and AWS Bedrock, giving developers flexibility in how they integrate it into their workflows.
Stable Image Core is well suited for use cases such as creative content generation, marketing visuals, concept art, and rapid visual prototyping. Its availability on AWS Bedrock means it can be incorporated into cloud-based applications without managing underlying infrastructure. The model serves as an accessible entry point into Stability AI's image generation ecosystem, balancing output quality with ease of deployment.
What Stable Image Core supports
Text-to-Image Generation
Converts natural language text prompts into visual images. Accepts descriptive input up to 77 tokens in length.
Prompt Input
Accepts free-form text descriptions as the primary input for image generation. Prompt length is capped at 77 tokens.
Style Selection
Supports selectable style options that influence the visual aesthetic of generated images. Configured via dropdown select inputs.
Seed Control
Accepts a numeric seed value to make image generation reproducible. Using the same seed and prompt produces consistent outputs.
Cloud API Integration
Available through both the Stability AI API and AWS Bedrock for flexible deployment. AWS Bedrock integration removes the need to manage underlying model infrastructure.
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Get Started FreeCommon questions about Stable Image Core
What is the prompt token limit for Stable Image Core?
Stable Image Core supports a context window of 77 tokens, which is the maximum length for a text prompt submitted to the model.
Where can I access Stable Image Core?
The model is available through the Stability AI API directly and through AWS Bedrock, allowing it to be used in cloud-based applications and workflows.
Does Stable Image Core have a knowledge cutoff date?
The metadata for this model does not specify a training cutoff date. As an image generation model, it does not retrieve or reason over factual knowledge in the way a language model does.
What input types does Stable Image Core accept?
The model accepts text prompts, seed values for reproducibility, and multiple select inputs that control parameters such as output style and image configuration.
What kinds of use cases is Stable Image Core designed for?
It is designed for use cases including creative content generation, marketing visuals, concept art, and rapid visual prototyping, as described in the official model overview.
Parameters & options
Guides the image model towards a particular style.
A blurb of text describing what you do not wish to see in the output image.
A specific value that is used to guide the 'randomness' of the generation. Omit this parameter or pass 0 to use a random seed.
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