How To Use Weighting In Stable Diffusion
Hello all and welcome to The ProtoART =)
Improve your artwork: Learn how to use weights to emphasize, de-emphasize, and fine-tune specific elements in your Stable Diffusion creations.
Control the creative chaos: Discover how weighting combats unwanted details, strengthens desired styles, and injects even more artistic intention into your prompts.
From beginner to pro: Whether you're new to text-to-image AI or a seasoned Stable Diffusion artist, this comprehensive tutorial will take your prompts to the next level.
In this video, you'll learn:
The basics of weighting syntax: Master the simple techniques for adjusting the influence of keywords and phrases.
Advanced weighting strategies: Unleash the power of negative prompts, merging weights, and controlling individual image components.
Real-world examples and case studies: See how pros use weighting to achieve stunning results, and apply these strategies to your own creative vision.
Diffussionbee APP
https://github.com/divamgupta/diffusi...
some of my models to try out
https://civitai.com/user/theprotoarte...
(same syntax as Automatic1111)
example of prompt editing ---
[to:when] - adds to to the prompt after a fixed number of steps (when)
[from::when] - removes from from the prompt after a fixed number of steps (when)
Example: a [fantasy:cyberpunk:16] landscape
At start, the model will be drawing a fantasy landscape.
After step 16, it will switch to drawing a cyberpunk landscape, continuing from where it stopped with fantasy.
Article---
https://github.com/AUTOMATIC1111/stab...
[object:X] - adds object after a X steps
[object::X] - removes object after a X steps
[object1:object2:0.X] - first X% is object1, then swaps to object2
[object1:object2:X] - starts with object1, then changes to object2 at step X
[object1|object2] - alternates between object1 and object2 every step
[object1|object2|...|objectN] - alternates between object1 ... objectN, then loops back to object1
MORE articles to read:
https://nexttrain.io/2023/12/21/what-...
https://www.andyhtu.com/post/prompt-w...
cheatsheet:
a (word) - increase attention to word by a factor of 1.1
a ((word)) - increase attention to word by a factor of 1.21 (= 1.1 * 1.1)
a [word] - decrease attention to word by a factor of 1.1
a (word:1.5) - increase attention to word by a factor of 1.5
a (word:0.25) - decrease attention to word by a factor of 4 (= 1 / 0.25)
a \(word\) - use literal ( ) characters in prompt
[word | word] - a different way to blend multiple prompts, weights can be used
(word | word) - a different way to blend multiple prompts, weights can be used
word AND word - a different way to blend multiple prompts, weights can be used
[word:to:word] - [lion:robot] (This blends lion and robot equally)
[word:word:step] - lion:robot:20 (This means that 20 steps in, and it will change to the robot prompt. The lower the number, the sooner it will switch to the second part of the prompt. This will be based on the Sampling Steps you set below)
[word:word:percentage] - lion:robot:0.2 (This means 20 lion and terminator are 20 percent)
These give you slightly different results and you'd have to play around with it to see what it gives you. Steps and Percentage are essentially the same idea.
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