Stable Diffusion is an open-source image generation model developed by Stability AI. It enables users to generate images from text prompts such as a description of an object, background, or style. The model is powered by Baseten and is governed by the CreativeML Open RAIL M License.
This allows users to generate images with just a descriptive phrase, such as ‘A lion wearing a cowboy hat’. The model then generates the corresponding image, with the example output provided in the text including a cyberpunk portrait, a lion wearing a cowboy hat, an NFL player scoring a touchdown, and a digital art of a tranquil library on a spaceship. This tool provides a convenient and powerful way for users to create images from text prompts.
More details about Baseten
What kind of text prompts can Stable Diffusion work with?
Stable Diffusion can work with a wide variety of text prompts that may include descriptions of objects, backgrounds, or styles. An example prompt could be ‘A lion wearing a cowboy hat’ or ‘An NFL player scoring a touchdown, colored pencil drawing’.
How does Stable Diffusion generate images from text prompts?
Stable Diffusion generates images from text prompts by using Baseten as the underlying technology. Users need to prompt the model with a descriptive phrase that can include objects, backgrounds, and styles, which it then uses to generate corresponding images.
What is Baseten’s involvement in Stable Diffusion?
Baseten is the technical foundation of Stable Diffusion. It is the platform on which the Stable Diffusion model is powered.
Is Stable Diffusion a free tool or does it require a license?
Stable Diffusion is an open source tool, but its usage is governed by the CreativeML Open RAIL M License. This license agreement details the terms and conditions under which the tool can be used.
Can Stable Diffusion generate a picture by using the description of a background?
Yes, Stable Diffusion can generate a picture using the description of a background. However, specific examples are not provided on their website.
