Unleash your Creativity with Stable Diffusion AI
Requirements
- Basic computer vision knowledge. Concepts like images, pixels, channels, kernels, and filters. This will help understand how Stable Diffusion works.
- Curiosity and interest in generative AI and text-to-image models. A desire to learn how to use these powerful new tools to create novel images.
Description
This course will teach you how to use the powerful Stable Diffusion AI image generator to unleash your creativity and supercharge your productivity as an artist, designer, creative professional & app developer.
You'll learn how to generate stunning digital art from simple text prompts and customize the model to align with your creative vision. The course covers the techniques behind text-to-image synthesis like diffusion models, latent spaces, and attention mechanisms.
Deployment & setup of Stable Diffusion on AWS, GCP & Azure Cloud platforms.
Through hands-on exercises, you'll gain practical skills for harnessing Stable Diffusion to generate concept art, illustrations, variations, and novel ideas that can transform your work.
The course also covers best practices for prompt engineering to exploit the different features of Stable Diffusion.
The course also covers topics like API(Application Programming Interface) for App developers to create custom apps using Stable Diffusion.
How to further customize your generated images by using ControlNet, Dreambooth & Custom models.
Learn how to extend Stable Diffusion & Automatic1111 Functionality using plugins.
By the end of the course, you will be able to use Stable Diffusion as a creative tool that amplifies your imagination and helps you produce more compelling images, graphics, and visual content for your projects.
Who this course is for:
- Artists and creative professionals interested in learning how to use AI image generation tools in their work. Stable diffusion can help generate novel concepts, variations, and ideas.
- Developers and machine learning engineers wanting to learn how to build and customize stable diffusion models. The course would cover the underlying architecture and techniques.
- Researchers studying generative models, text-to-image synthesis, and diffusion models. The course content could provide insights and inspiration for new research directions.
- Students in computer science, machine learning, or artificial intelligence programs. A stable diffusion course could help teach important concepts like generative modelling, latent spaces, and diffusion processes through a practical application.
- Anyone curious about the capabilities of modern generative AI and wanting to learn how to harness this technology in an ethical and responsible manner. The course would likely cover best practices, limitations, and societal considerations.
Instructor
- 3.9 Instructor Rating
- 576 Reviews
- 57,063 Students
- 22 Courses
In today’s world, technology is the biggest business enablers and Techlatest helps others to take advantage of the latest and greatest in the technology by bridging the gap between their needs and what the latest trends in technology has to offer.
Techlatest not only provides courses on latest technologies but also take care of providing the required setup and infrastructure to get hands-on experience.