A short piece of code that shows how pyTorch is able to generate an image by combining a Stable Diffusion Pipeline and the Python Imaging Library

pyTorch is able to generate an image using a string prompt. CLIP text model is used for text encoding Stable Diffusion Pipeline is used to generate images PIL is a library used for image processing (Python Import Library)

note: 'pip3 install accelerate' installs a package fundamental for pytorch, takes a lot of memory nad would require time to download and install. Accelerate is a library used to write minimal torch code without boilerplate code.

The image in this repository is the image generated by torch when given the prompt. It shows an abstracted stringed instrument and a resemblance of a guy's fingers. The image is distorted and shows twoo different necks.

The other photo is another image that shows a close resemblance to an acoustic guitar howver would have multiple strings and have two different bridges which is not an accurate depiction of an acoustic guitar, however shows the correct shape of an acoustic guitar and correct set of features and even almost shows a cutaway shape.

note: both images have been given the same string prompt

new prompt "a tropical white sand beach" - this string prompt is able to return a less distorted and with minimal errors in the photo making it a great output of the short piece of code.