What you'll learn

Introduction to Diffusion Models: Basics and first steps with diffusion models

Prompt Engineering: Optimizing prompts for various platforms like DALL-E, MidJourney, Flux, and Stable Diffusion

Stable Diffusion & Flux: Using open-source models, negative prompts, LoRAs for SDXL or Flux

Guides for installing and using tools like Fooocus, ComfyUI, Forge, locally or in the cloud

Flux: Usage for inpainting, IP Adapter, ControlNets, custom LoRAs, and more

Training custom models & LoRAs, checkpoints, encoders, inpainting and upscaling, multiline prompts for creative image generation

Creative Applications: Creating consistent characters, AI influencers, product placements, changing clothes and styles (e.g., anime)

Specialized workflows and tools: Using tools like ComfyUI, Forge, Fooocus, integrating ControlNets, advanced prompting, and logo design

Platforms: Utilizing Leonardo AI, MidJourney, Ideogram, Adobe Firefly, Google Colab, SeaArt, Replicate, and more

Deepfakes: Faceswapping in photos and videos, installing programs for live deepfakes in Python, voice cloning, and legal concerns

AI voices and music: Creating audiobooks, sound effects, and music with tools like Elevenlabs, Suno, Udio, and OpenAI API

AI videos: Producing AI films with Hotshot, Kling AI, Runway, Pika, Dreammachine, Deforum, WrapFusion, Heygen, and more

Upscaling and sound enhancement: Improving image, video, and sound quality, higher resolution, or converting to vector formats

Ethics and security: Legal frameworks and data protection in the use of diffusion models

Requirements

No prior knowledge or technical expertise required, everything will be shown step by step.