What is stable diffusion..?

Stable Diffusion is a text-to-image model. Give it a text prompt, it will return an image matching the text.
Though it can also be applied to other tasks such as inpainting, out-painting, and generating image-to-image translations guided by a text prompt.
Stable Diffusion is a latent diffusion model, a variety of deep generative neural network developed by the CompVis group at LMU Munich.

Initial release on August 22,2022.
Stable release on December 7,2022.
Written in python language

Architecture

Stable Diffusion is a type of computer program used to create images. It uses a combination of 3 different parts: a variational autoencoder, U-Net, and an optional text encoder.
The variational autoencoder compresses the image into a smaller representation that captures its important features.
Then, noise is added and removed multiple times to create the final image.
This process can be influenced by text, images, or other information.
The advantage of this program is that it is more efficient to train and use compared to other methods.

Training Procedure

The Stable Diffusion model was trained using a dataset of captioned images that were rated as at least 5 out of 10 by humans.
The images were also of high resolution and without watermarks.
The training was done using 256 GPUs and took 150,000 GPU-hours, costing $600,000.
The final rounds of training dropped some text information to improve the model's performance.

Usages

Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, out-painting, text-to-image and image-to-image translations.
Stable Diffusion does not claim ownership of any images generated using the model, and users are free to use these images as long as they don't contain anything illegal or harmful. However, some people are worried that the widespread use of image synthesis software like Stable Diffusion could lead to human artists, photographers, and other creative professionals losing business to AI-based competitors.

Capability

Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, out-painting, text-to-image and image-to-image translations.
Stable Diffusion does not claim ownership of any images generated using the model, and users are free to use these images as long as they don't contain anything illegal or harmful. However, some people are worried that the widespread use of image synthesis software like Stable Diffusion could lead to human artists, photographers, and other creative professionals losing business to AI-based competitors.