LinkedIn – Stable Diffusion: Tips, Tricks, and Techniques 2023-6
LinkedIn – Stable Diffusion: Tips, Tricks, and Techniques 2023-6 Downloadly IRSpace

Stable Diffusion: Tips, Tricks, and Techniques is a course on using a leading text-to-image generation model published by LinkedIn Online Academy. This is a comprehensive course designed to help artists, developers, and AI enthusiasts get the most out of Stable Diffusion, a leading text-to-image generation model. Whether you’re a beginner or have previous experience with AI image tools, this course will equip you with the practical knowledge to produce high-quality images with precision and creativity. AI image generation tools allow you to enter text descriptions and get an image in the blink of an eye. For creative professionals, these tools can speed up the creative process and help produce assets.
The open-source Stable Diffusion platform is known for its power, customization, and ability to run locally rather than using an online service. In this course, imaging expert Ben Long explores Stable Diffusion, shares tips for creating effective guidelines, using existing designs or images as guidelines, extending Stable Diffusion through plugins, teaching Stable Diffusion to render subjects it couldn’t before, and more.
What you will learn in Stable Diffusion: Tips, Tricks, and Techniques:
- Sustainable Release Basics
- A Deeper Look at Sustainable Release Guidelines
- Advanced Sustainable Release
- Sustainable Release Training and Customization
- Working with ControlNet
- Workflow Modification
- Model Customization and Training
- And…
Course specifications
Publisher: LinkedIn
Instructors: Ben Long
Language: English
Level: Intermediate
Number of Lessons: 56
Duration: 6h and 13m
Course topics
Stable Diffusion: Tips, Tricks, and Techniques Prerequisites
Access on tablet and phone
Pictures
Stable Diffusion: Tips, Tricks, and Techniques introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Download link
Size
881 MB