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negative prompts stable diffusion
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Artificial Intelligence, Digital, Inspiration, Media, Stable Diffusion, Tutorials

BEST Negative Prompts For Stable Diffusion 2.0

 

Do you want to learn how to use negative prompts in a Stable Diffusion Web UI?

In this article, we’ll explain to you how to use negative prompts and we’ll go over more reasons why prompts are important.

Stable Diffusion 2 Prompts

You need to use negative prompts because then you can go from images like this…
negative prompts stable diffusion
…to images like these.
negative prompts stable diffusion
I’ve collected a list of some of the best negative prompts that you can use.
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.
negative prompts stable diffusion
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.
negative prompts stable diffusion
And then you can go ahead and generate your image.
negative prompts stable diffusion
Now, you can see it goes from that, all the way up to this.
generated image

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.
still life and landscape
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.
image of taylor swift
Here is an example image.
stunning ai 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.”
tweet of emad mostaque
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

The development of Stable Diffusion version 2 AI holds great promise in a range of fields, especially in artistic expression.
However, as with any new technology, there are also ethical implications to consider.

Perpetuate Harmful Stereotypes and Biases

One of the main concerns surrounding the use of Stable Diffusion version 2 AI is the potential for the system to perpetuate harmful stereotypes and biases.
If the AI is trained on a dataset that contains biased or stereotyped information, the resulting images it generates may reflect these biases, thereby reinforcing and perpetuating them.
This could have serious consequences.
Particularly if the images are used in a public or commercial context where they could reinforce negative stereotypes and harm certain groups of people.

Could Be Used for Deceptive or Manipulative Purposes

Another ethical concern is the potential for the system to be used for deceptive or manipulative purposes.

For example, some people with malicious intentions might generate images that are misleading or fraudulent, such as fake news articles or doctored images used for political propaganda.

This could have serious consequences for public trust in information sources and democratic processes.

Negative Impact on Employment and Society

Furthermore, the use of Stable Diffusion version 2 AI raises broader questions about the impact of AI on employment and society.

As technology becomes more advanced, it may have significant implications for the job market, potentially displacing workers in certain industries.

There is also the possibility that the technology could be used to create realistic and convincing fake images and videos, making it difficult to discern what is real and what is not.

Addressing the Ethical Concerns Arising from the Use of Stable Diffusion

Use of Diverse and Representative Data Sets

In order to address these ethical concerns, it is important to carefully consider the datasets used to train the AI and ensure that they are diverse and representative.
It is also crucial to establish clear guidelines and regulations for the use of the technology, particularly in commercial and public contexts.
Additionally, there needs to be ongoing research into the impact of AI on employment and society, and strategies developed to address any negative consequences that may arise.

Transparency and Accountability in Its Development and Deployment

Another important step is to promote transparency and accountability in the development and deployment of Stable Diffusion version 2 AI for text-to-image conversion.

This includes making the training data and algorithms used in the system publicly available.

As well as providing clear explanations of how the AI operates and the potential biases or limitations it may have.

Regulating the Use of the Technology

Additionally, there should be oversight and regulation of the use of the technology, particularly in sensitive areas such as medical imaging.

It is also important to promote responsible use of the technology and to educate users about the potential ethical implications.

This could involve developing codes of ethics or best practices for the use of Stable Diffusion version 2 AI for text-to-image conversion.

As well as providing training and education to users and developers.

While the development of Stable Diffusion version 2 AI holds great promise, it is important to consider the potential ethical implications and take steps to address them.

By promoting transparency, accountability, and responsible use, we can ensure all can use this technology in a way that is beneficial to society.

At the same time, minimizing the potential risks and negative consequences.

Final Thoughts
I’m a great fan of this technology and what they’ve been creating.
And I’m only expecting it to improve.
So remember to use those negative prompts.
Here’s a video on the quickest way to install Stable Diffusion 2.
And here’s a video looking at all of the other new features available in this version.
I hope you enjoyed this video on negative prompts Stable Diffusion.
Why not stick around for more AI art news?
I’m Samson Vowles, this is Delightful Design.
I hope you have a delightful day.
If you liked this article on negative prompts Stable Diffusion, do check out these articles for more interesting reads.

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