Tech share: AI Image Generator  <!-- .element: width="80%" --> --- #### What are AI Image Generators? Advanced software systems that use artificial intelligence to create images from scratch or modify existing ones. Leverage powerful techniques like deep learning and neural networks. --- #### Significance in the Industry - Marketing - Entertainment - Design --- #### Brief History and Evolution of AI Image Generators --- #### Generative Adversarial Networks (GANs) - Groundbreaking  <!-- .element: width="500" --> StyleGANs by Nvidia, 2018 --- #### Generative Adversarial Networks (GANs) BUT - Challenges: Mode collapse (limited image variations)  <!-- .element: width="500" --> --- #### Today: Stable Diffusion - Noise guessing mechanism: Easier to control and refine - Highly detailed and diverse image generation  <!-- .element: width="100%" --> --- #### Today: Stable Diffusion <video data-autoplay src="./clip1.mov" ></video> --- #### Diffusion Models (DALL-E 2, Stable Diffusion) - Gradual transformation of noise into coherent images - Detailed and diverse images with fewer artifacts --- #### Transformer-based Models (CLIP) - Include natural language processing - Uses transformers to understand and generate images from text prompts - Integration of language and vision for creative AI applications --- #### How to Use AI Image Generators Two main approaches - Pre-built systems - Self-hosted solutions Each has its own advantages and disadvantages. --- #### Pre-built Systems (e.g., AWS Titan, GCP Imagen) Pre-built systems are ready-made solutions provided by cloud service providers like Amazon Web Services (AWS) and Google Cloud Platform (GCP).  <!-- .element: width="40%" -->  <!-- .element: width="40%" --> --- #### Pre-built Systems (e.g., AWS Titan, GCP Imagen) **Advantages:** - Ease of Use and Quick Deployment - High Scalability and Reliability - Integration with Other Cloud Services --- #### Pre-built Systems (AWS Titan, GCP Imagen) **Disadvantages:** - Cost Considerations and Potential for High Expenses - Limited Customization and Control - Dependency on Third-party Providers - Data Privacy and Security Concerns --- #### Self-Hosted Image Generators Self-hosted systems are those that you set up and manage on your own infrastructure. This approach offers more control and flexibility.  <!-- .element: width="40%" -->  <!-- .element: width="40%" -->  <!-- .element: width="40%" -->  <!-- .element: width="40%" --> --- #### Self-Hosted Image Generators **Advantages:** - Full Control Over the System and Customization Options - Potentially Lower Long-term Costs - Data Privacy and Security - Ability to Optimize and Tailor the System to Specific Needs --- #### Self-Hosted Image Generators **Disadvantages:** - Requires Significant Technical Expertise and Resources - Maintenance and Updates are the User's Responsibility - Scalability Challenges - Initial Setup Can Be Time-consuming and Complex --- #### Deploying an Image Generator Model Using ComfyUI **Key Features and Benefits of ComfyUI:** - Ease of use and flexibility - Tailor the interface to specific needs - Seamless experience for deploying and managing AI image generation models --- #### Demo - [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - [Compute VM](https://console.cloud.google.com/compute) - [Workflow Share](https://openart.ai/workflows/home)