StyleCLIP offers a range of features, including text-driven image manipulation, image editing, and art generation.
StyleCLIP allows users to manipulate images using text prompts, enabling a range of applications from image editing to art generation.
StyleCLIP provides a range of image editing tools, including the ability to adjust colors, textures, and shapes.
StyleCLIP can be used to generate art, including images, videos, and 3D models, using text prompts.
StyleCLIP can be used to augment data, including images, videos, and 3D models, using text prompts.
StyleCLIP is open source and available on GitHub under the MIT license.
Image editing: Use StyleCLIP to edit images using text prompts, including adjusting colors, textures, and shapes.
Art generation: Use StyleCLIP to generate art, including images, videos, and 3D models, using text prompts.
Data augmentation: Use StyleCLIP to augment data, including images, videos, and 3D models, using text prompts.
Research: Use StyleCLIP as a research tool to explore the capabilities of text-driven image manipulation.
Sign up for a GitHub account and clone the StyleCLIP repository.
Install the required dependencies, including Python and PyTorch.
Run the StyleCLIP code using the provided text prompts to manipulate images.