You need to use negative prompts because then you can go from images like this…
…to images like these.
These are collected from Emad from the Reddit community and a few of my own suggestions.
Including words like disfigured, kitschy, ugly, oversaturated, low-res, deformed, and blurry, tells Stable Diffusion what not to include.
And this is having a dramatic effect on the quality of images coming out of Stable Diffusion 2.
How to Use Negative Prompts
Here’s how to use the negative prompts in a web UI like this one.
All you have to do is copy this list and paste it into a negative prompt text box here.
And then you can go ahead and generate your image.
Now, you can see it goes from that, all the way up to this.
Importance of Negative Prompts
The reason why negative prompts are carrying such greater importance in Stable Diffusion ver.2 is that the “model process deduped and flattened latent space so negative prompts and weighting has a huge impact.”
Many people have been complaining about Stable Diffusion being a downgrade.
The fact that anatomy has taken a backward step.
That there are no celebrities.
That there’s no naked nudity included has angered many users.
But it has definitely taken a step forward in other ways.
I think the detail and coherence of the images are working much better.
The still life and landscapes are vastly improving.
And it’s becoming easier to train the model on your own data sets.
Somebody has already trained the model on a few images of Taylor Swift and is getting some excellent results.
Here is an example image.
It’s absolutely stunning.
Emad Mostaque, the father of Stable Diffusion himself has been saying, “Like actually try it, folks it’s only going to get better from here, each of these was generated in a couple of seconds.”
With some really beautiful examples of work from Stable Diffusion 2.
Many of the benefits of Stable Diffusion also cause inverse difficulties.
For example, the fact that it’s open source and can be easily modified, upgraded and changed means that there are endless possibilities to add and remove functionality.
But it makes it more difficult to create a coherent user experience for people to be able to switch between or to create good learning materials that are applicable from one platform to another, from one version of Stable Diffusion to another.
So in one way you’re gaining with one hand and losing with the other.
Ethical Implications of Using Stable Diffusion Version 2 AI