Guide for mastering the prompt
Vok42 opened this issue · 1 comments
Hello,
I would like to ask if you can suggest material on how to do advanced prompts?
I'm probably blind, but I can't find any material on how much effect: "()", "{}", ":number" has on the prompt.
For example, you recommended to do a "Sanity Test" in which you used advanced parameters.
If I play with the parameters, I see the difference in them, but I do not understand the technical component behind them.
If I break down my question into points:
- I don't understand how much the result is multiplied when using "()"
- I don't know what is the difference between "()" and "{}"
- If you give a weight to a parameter, how much does it affect? For example "forest" and "(forest:1)" are parameters of the same weight? How will the values above (:1.5) and below(0.5) be interpreted.
Maybe prompt can do a lot more things that I don't know about. I would not like to waste your time and explain to me how it works. If you can give a direction to an article/book that describes such details - I would be grateful to you.
I have one question for your model:
Do you have a library of words that were used to train the model? I understand that you used materials from "34" and "Gelbooru" and most of the tags will do, but what to do with little-known tags or non-obvious moments?
For example:
- Сan I be sure that character X or tag Y is in your model. Can I find out without testing it on the prompt?
- I would not know that you can use tags such as "masterpiece" or "best quality" in the prompt.
How should I know what prompt can accept without trying to interpret my words which the model may not understand?
I apologize in advance if there are any very obvious points here. II'm still new at work with "stable diffusion" and his branches
I have already worked with your model. In some places I am shocked by how well hands, details, objects are drawn. You have done an excellent job. I will look forward to your updates :)
Did you find an answer for these?