Understanding Prompting for Stable diffusion in ComfyUI

Excellent video! Thanks very much.

great explanation, althhough got very technical at some points but in conclusion I came to understand how prompting works for stable diffusion and why on civit ai there are different prompt guidelines given beneath diff models and why I never get good results with using just prompts :D

Can you explain how the 'clip set last layer' node works?

That is an amazing tutorial and approach to learn SD, well done!

thank you for your great effort to explain ist, amazing. I just tried your prompt and added "blue jeans, black shirt, red sneaker". Randomly it ignored one or two of the elements. I don't understand why.

Thank you for this video. This is great information.

Super useful bravo

A highly enlightening look under the ComfyUI hood. Much appreciated! Now I'm off to see if there happen to be any "token count" nodes out there or if I'm going to have to write one myself, just to make life easier.

super, thanks🥰

very good

what is it that you use to mark and highlight everything on your screen?

thanks!

great!! i loved it

Very useful and well explained! I now feel like I have a MUCH better understanding of how prompting works, though I also understood it depends a lot on how individual models were trained. Makes me wish there was a way to query a model to know what kind of prompts it prefers.

By using Combine average with weight 1.0 you just gave a weight of nearly zero to another part of prompt. This is why green eyes don't influence the picture. No green eyes so no green color bleeding.
To me this video doesn't look correct, but I will recheck on my own. I'm sceptical still

Exactly what i needed, thanks a lot

This was awesome! Watched to the last second🎉 Great pace and explanation of CLIP node. Goes beyond comfyui to really show what and how prompts work. Looking forward to more in depth videos like this.

Very nice deepdive on clip text, thank you very much, I think I get clip text a little better now :D

float32 does NOT hold 32 significant digits! The number signifies the amount of bits used to store the whole float: the sign, mantissa and exponent. Since mantissa is defined as 23 bits, this gives only 6 to 9 significant digits to go around.

I thought it was great, especially because you also explain how the AI deals with the prompts. I'd love to see more

Somewhere I learned to use the word " BREAK " along the way so my prompt looks like this " 1girl, 26 years Old, white beach hat, BREAK blonde, BREAK green eyes," and this works. Great explanation !!

Exactly what I was looking for, thank you.

I can see you doubled up your subscription since my last visit. Well done! And a Happy New Year.

You got my attention now you have my curiosity.. Thank you

This channel is perfect for me, I could watch for hours.

Thank you for sharing this in-depth technical exploration which unveals the secrete happened behind UI.

Thank you!!

This information is pure gold, and I very much appreciate your clear and concise style! 🙏🏻

Very nice primer on prompting, thank you

Keep it up, always interesting/educational videos.

This is very useful. I had a lot of troubles with clothes, I was asking black, white or any other colors and it persists to be green, now with this combine maybe I can fix it