Stable Diffusion API: An API Platform that can Create Studio Quality Images

 Adhik Joshi,  Managing Director

Adhik Joshi

Managing Director

Application Programming Interface(API) helps services communicate with other apps, allowing them to execute tasks or request information quickly and easily. The global Application Programming Interface market size was $2.20 billion in 2021 and is expected to register a CAGR of 25.2 percent during the forecast period 2022-2027. With effective implementation of APIs, companies can cut costs, and improve efficiencies and thereby their bottom lines. Increasing incorporation of API for high-volume data analysis and data engineering is driving market revenue growth. Majorly clients in this segment are looking for efficient services at competitive prices. Established in 2022, Stable Diffusion API is a much cheaper and more reliable option in the market with which people can generate detailed images conditioned on text descriptions.

Stable Diffusion API provides an opportunity for users to build some thing new without worrying about the GPU or server needs. Stable Diffusion API has predictable resource-oriented URLs, accepts form-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs. People can scale any image up to 4K with the help of Stable Diffusion Upscalar. Stable Diffusion API consists of a team of five highly skilled professionals. “Our platform enables users to focus on building unique work flows while it manages API scalability, latency, and
reliability”, says Adhik Joshi, Managing Director.

Focused on Scale & Privacy
Stable Diffusion API is equipped with a NSFW checker which means any image detected as NSFW will be replaced by a blank image. Now, users can fine tune stable diffusion with their own dataset to generate images of their choice. Stable Diffusion API supports the ability to generate new images from scratch through the use of a text prompt describing elements to be included or omitted from the output. It is primarily used to generate detailed images conditioned on text descriptions. The platform also offers Dream booth text to image API which is used to create images from text based on trained or on public models. Users can also make an API call to their trained models as well as to any public model.

The company is planning to start a service of renting out GPU servers which will help lots of students & upcoming AI researchers

Stable Diffusions Dream booth Inpainting API is used to change some parts of an image according to specific requirements, based on trained or public models. The platform also provides Dreambooth image-to-image API which is used to generate an image from an image based on trained or on public models. It passes the appropriate request parameters to the endpoint to generate an image from an image. This endpoint generates and returns an image from an image passed with its URL in the request. Along with the image, users can also add their description of the desired result by passing the prompt and the negative prompt.

Stable Diffusion API has 100s of models which clients can use to generate images. The platform also provides enterprise services where users can have their own GPU servers through which they can generate images and later can store them on their bucket. Today people around the globe are leveraging Stable Diffusion API to produce wonderful images and art. Indian companies are using this platform to integrate with different systems and focus more on their core business.

Stable Diffusion API has around 40K sign-ups on its platform and has the vision to become one of the biggest Artificial Intelligence-based API providers in the country. The company is going to build its own GPU server firm in the next year. Moving forward, Stable Diffusion API is also aiming to scale into AI-generated audio and videos in the coming future.