Diffusion Mastery: Flux, Stable Diffusion, Midjourney & more
Published 9/2024
Created by Arnold Oberleiter
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 155 Lectures ( 17h 26m ) | Size: 13.1 GB
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
Code:
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