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ComfyUI - Prompt Engineering with CFG, Sampler Steps and Clip Skipping - for Stable Diffusion Users
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This video explores some little explored but extremely important ideas in working with Stable Diffusion - at the end of the lecture you will understand the relationship between CFG, Sampler steps and Clip skipping and the negative and positive implications. But take your time with this one, it goes into _*professional level*_ detail on the subject.
These are core ideas in helping you to refine your prompts and understanding the methods currently used in Stable Diffusion.
The previous lectures mentioned in the video can be found in the beginner's guide to ComfyUI
Course Discounts
BEGINNER'S Stable Diffusion COMFYUI and SDXL Guide
ADVANCED Stable Diffusion COMFYUI and SDXL
Mastery Course for Stable Diffusion (commences with this tutorial)
This lecture also looks at how core techniques previously examined on the course can be applied holistically to improve overall workflow.
Join 🏆 this channel to get access to exclusive content and perks:
00:00 Printing as a Metaphor for Stable Diffusion
02:50 Understanding Latent Space, Clip Networks, Diffusers and VAEs
04:55 Sampler Steps, CFG and Clip Skips
05:33 The relationship between sampler steps and the checkpoint
12:40 The relationship between CFG and the Text Prompt
18:35 The relationship between color, contrast and CFG
29:00 The CFG is broken
30:09 High steps number and the relationship with the prompt
32:56 Clip Skip and the Clip Neural Network
35:20 The CFG is completely broken
36:00 Putting this analysis of the neural networks together
39:40 Possible solutions to fix the broken CFG
These are core ideas in helping you to refine your prompts and understanding the methods currently used in Stable Diffusion.
The previous lectures mentioned in the video can be found in the beginner's guide to ComfyUI
Course Discounts
BEGINNER'S Stable Diffusion COMFYUI and SDXL Guide
ADVANCED Stable Diffusion COMFYUI and SDXL
Mastery Course for Stable Diffusion (commences with this tutorial)
This lecture also looks at how core techniques previously examined on the course can be applied holistically to improve overall workflow.
Join 🏆 this channel to get access to exclusive content and perks:
00:00 Printing as a Metaphor for Stable Diffusion
02:50 Understanding Latent Space, Clip Networks, Diffusers and VAEs
04:55 Sampler Steps, CFG and Clip Skips
05:33 The relationship between sampler steps and the checkpoint
12:40 The relationship between CFG and the Text Prompt
18:35 The relationship between color, contrast and CFG
29:00 The CFG is broken
30:09 High steps number and the relationship with the prompt
32:56 Clip Skip and the Clip Neural Network
35:20 The CFG is completely broken
36:00 Putting this analysis of the neural networks together
39:40 Possible solutions to fix the broken CFG
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