Mastering AI Art: No-Code Workflow with Stable Diffusion
What you'll learn
- Learn everything you need step by step to create AI art on your own local computer without writing a single line of code
- How to utilize open source tools to create breathtaking art, for free, and with zero content restrictions
- Implement different Stable Diffusion models and upscale images when you're happy with your masterpiece
- Create AI art from both text prompts (text2img) as well as a simple sketch or drawing (img2img)
- Use LORAs to apply custom style and themes to your Stable Diffusion images
- Start simply with a Windows PC! However, a NVIDIA GPU with at least 4GB memory will speed up the art generation process!
- Beginer level for those looking to understand the process of how Stable Diffusion and parameters work
Welcome to "Mastering AI Art Generation: No-Code Workflow with Stable Diffusion." In this comprehensive course, you'll learn the basics of AI art generation, leveraging a no-code workflow that empowers artists and creators to generate stunning visuals without writing a single line of code.
And even better, you can create without limitations or paying for subscription sites.
Whether you're an aspiring artist, designer, or simply intrigued by the world of AI art, this course is designed to equip you with the skills and knowledge to create captivating artworks using state-of-the-art techniques. We'll dive into the fascinating realm of stable diffusion, a powerful algorithm that enables stable and controlled image synthesis. By employing this technique, you'll gain a deep understanding of how to generate high-quality, visually appealing artwork with ease.
One of the core pillars of this course is the integration of upscale models using GANs as well as custom styling and themes through the utilization of LORAs. With LORA models, you'll be able to add an extra layer of creativity and uniqueness to your creations, transforming your visions into awe-inspiring masterpieces.
To ensure a smooth learning experience, we've curated an extensive collection of pre-trained models from HuggingFace and CivitAI. These models can be downloaded easily, enabling you to seamlessly incorporate them into your artistic projects. Explore the vast selection of models and discover the perfect fit for your creative expression.
Although this course is optimized for computers with NVIDIA GPUs, we understand that not everyone may have access to such hardware. Therefore, we've also made sure that the techniques and concepts taught in this course are compatible with computers equipped with modern CPUs. Regardless of your hardware setup, you'll be able to unleash your artistic potential and create stunning AI-generated art.
Key Topics Covered:
1. Introduction to AI art generation and the no-code workflow.
2. Understanding stable diffusion and its applications in art synthesis.
3. Exploring GANs and Loras: Leveraging upscale models, custom styling, and themes.
4. Hands-on exercises with pre-trained models you can download from popular open source sites.
5. Integrating models and executing complex art generation pipelines.
6. Enhancing artistic output using advanced customization techniques.
By the end of this course, you'll have a solid foundation in AI art generation, enabling you to leverage stable diffusion, upscale models, custom styling, and themes with Loras. You'll be equipped with the skills to transform your artistic vision into reality, breathing life into your creations with the power of AI. Join us on this exciting journey and unlock the endless possibilities of AI art!
Who this course is for:
- Beginners in AI Art that want to learn how the art is devleoped and create amazing images without the need for purchasing credits or subscriptions via pay services.
- Those interested in using a wide array Stable Diffusion models
- Creators who seek independency from subscription and paid services
With over 15 years of experience, Ken has excelled in supporting the strategic planning of large, high-performing programs for both governmental and non-profit organizations. In addition to his strong background in performance measurement and risk analysis, he has managed multiple GIS systems and is a college instructor in Artificial Intelligence and SQL for Business.