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Course Content
1 – Introduction
0/5
Welcome .html
1 -Course Overview
10:21
2 -My Goal and a Few Tips
03:47
3 -Explanation of the Links
02:16
4 - Important Links .html
2How Diffusion Models Work: Examples & Your First lmage withDALL-E
0/6
Examples of Diffusion Models and Their Applications
09:37
1 -What Will We Learn in This Section
00:56
2 -Examples of Diffusion Models and Their Applications
09:37
3 -Diffusion Models in Detail Embeddings, Tensors, RGB Codes & More
14:10
4 -Create a ChatGPT Account and Your First Image with DALL-E
07:01
5 -Recap What You Should Do NOW
03:00
3 – Basics & Prompt Engineering for Diffusion Models DALL-E as Example
0/10
1 -What Will Be Covered in This Section
01:35
2 -Basics of Prompt Engineering for Diffusion Models (in DALL-E)
09:28
3 -DALL-E Is Simple Because ChatGPT Helps
07:09
4 -Optimizing Aspect Ratios for Different Platforms
04:18
5 -Using Reference Images in DALL-E
03:34
6 -Image Editing and Inpainting with DALL-E in ChatGPT
02:39
7 -Custom Instructions for Better Prompts
06:41
8 -Develop Your Own GPT to Optimize Prompts
07:22
9 -The Gen_ID in DALL-E Is Like the Seed Create Consistent Characters
12:30
10 -Recap What You Should Remember!
03:15
4 – Basics of Stable Diffusion Negative Prompts, Models, LoRAs & First Images
0/11
1 -What Is This Section About
01:29
2 -Stable Diffusion & Flux Features of Open-Source Diffusion Models
10:55
3 -Quick tip Pinokio, a software for one-click installations of open-source tools
04:12
4 -Using Stable Diffusion in Fooocus with Google Colab or locally
12:57
5 -Fooocus Basics Interface, First Steps, Settings, and Images
18:44
6 -Stable Diffusion Prompting Order, Negative Prompts, Brackets & Weighting
17:15
7 -Full Body Views with Aspect Ratio, Prompts & Negative Prompts
05:13
8 -Finding Inspiration on Lexica, SeaArt, Leonardo and Prompt Hero
06:57
9 -More Prompt Engineering Tips for Stable Diffusion and find Styles
03:50
10 -Create SDXL Prompts with Your Own GPT
03:35
11 -Summary Important Points to Remember
03:14
5 – Fooocus for Advanced Users Inpainting, Input Image, Upscaling, LoRAs & More
0/19
1 -What Will We Learn in This Section
01:30
2 -Multiline Prompts in Stable Diffusion Blending Images Together
05:38
3 -Support for Arrays and Brackets in Multi-Prompting
04:16
4 -Upscaling Images and Creating Variations
14:22
5 -Enhancing Faces, Eyes, Hands, Clothes, and Details with Enhance
17:55
6 -Stable Diffusion Inpainting Basics
10:20
7 -Stable Diffusion Outpainting Basics
04:50
8 -Improving Hands with Inpainting & perspecitve field
10:16
9 -Input Image and Input Prompt
11:54
10 -Controlnet Pyra Canny Pose to Image
09:09
11 -ControlNet Depth to Image Implementing Poses and Depths with CPDS
05:14
12 -FaceSwap and Combining ControlNets
07:46
13 -Consistent Characters Illustrating a Picture Book, for Example, with Animals
06:04
14 -Installing Checkpoints & LoRAs Locally
14:54
15 -Checkpoints & LoRAs in Google Colab SDXL Turbo for FAST Generations
12:09
15 -LoRa and Checkpoints Code
16 -Recap What You Should Remember
03:35
16 - Code for LoRas and Checkpoints
16 -LoRa and Checkpoints Code
6 – Stable Diffusion Pro Consistent Characters, Product Placements, Clothing, etc
0/12
1. What Will We Learn in This Section?
02:06
2. Creating Perfect Consistent Characters and Optimizing FaceSwap
14:04
3. FaceSwap with Advanced Inpainting and Developer Debug Mode
05:04
4. FaceSwap from Different Angles with Lineart Grid
11:04
5. Consistent Characters with Grids for Special Poses & Stories
11:17
6. Creating & Changing Clothing with Masks & Inpainting: Al can Market Cloths
17:10
7. Real live Product Placements and Better Understanding Masks
14:59
8. Perfect Hair with Inpainting, Image Prompt, and Masks
07:03
9. Describe & Converting Photos to Anime Style and Vice Versa
05:08
10. Using Metadata to Recreate Images
05:03
11. Text in Stable Diffusion
03:56
12. Summary: Important Points to Remember
03:55
Diffusion Mastery: Flux, Stable Diffusion, Midjourney & more
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