The World of Stable Baselines

Introduction to Foundational Models

Stable diffusion is a Deep Neural Network model that creates hyper-realistic images from a text prompt. Just write down and AI will turn your imaginations into a realistic image

It's one of the eye catcher technology of 2023 and completely open source for anyone and every one.

Try it out here : https://stablediffusionweb.com/#demo

Generative models at this scale are always backed by giants like Open AI and Google to avoid this disruptive technology into unethical usage, however Stable Diffusion AI is complete open source and uses transformers and weights from hugging face libraries.

Stablebaslines Vs Dall-E

But to note there are few notable differences one can figure out when it's compared to DALL-E, few to mention are :

• Stable Diffusion is completely Open-Sourced with the code and data, however DALL-E 2 has been looked at as an idea that has been revealed; however, there is no available access to it's code, data and the model.
• Stable diffusion is trained on the LAION-5B dataset, which has over 5.85 billion Images and DALL-E2 is trained on millions of undisclosed stock images and the existing GPT-3 parameters. (DALL-E2 is a project under Open AI incase you may not know)
• For Stable Diffusion data is primarily un-curated, enabling the model to generate inappropriate and ethically unaccepted images, Whereas in case of DALL-E2 data and the model are heavily curated and strictly tries to avoid any ethical issues.
• As Stable diffusion model follows a diffusion technique on existing data, it lacks generality in creating things it hasn’t seen before, like logos and fonts.However in DALL-E2 with GPT-3 as its backbone, the model serves as a milestone in conception, which sets a precedent for upcoming general models.

So to conclude it's a must try fun tool that powers your imagination with complex DL algorithms running to fuel it !!