Diffusion is a new way to make pictures from words or other pictures.
It uses a special thing that can make the picture fuzzy and then clear again. The thing is called a neural network and it is very smart. It can learn how to make the picture look like what you want.
You can tell the computer a word or show it a picture.
For example, you can say “A blue dragon flying over a mountain” or show a picture of a flower.
The computer will use diffusion to make a new picture for you. The new picture will be different from the old one, but it will have some things in common.
There are two kinds of diffusion: stable and unstable. They are different in who made them and what they can do.
How are stable diffusion and unstable diffusion different?
Stable diffusion and unstable diffusion are different in many ways. Here are some of the main differences:
#1. Who made them
Stable Diffusion is made by a company called StabilityAI.
They are experts in AI and they make sure that stable diffusion works well and does not have any problems.
Unstable diffusion is made by some people who are not from StabilityAI.
They are hobbyists or hackers who like to change the AI program to make it do new things that stable diffusion cannot do.
#2. How to get them
Stable diffusion is easy to get and use because StabilityAI gives it to everyone for free.
You can download stable diffusion from StabilityAI’s website or from other websites that share it.
Unstable diffusion is hard to get and use because StabilityAI does not give it to anyone. You can only get unstable diffusion from some websites or forums that are not official or safe.
#3. How to use them
Stable diffusion is user-friendly and reliable. You can use stable diffusion to make high-quality pictures that are realistic and smooth.
You can also use stable diffusion to make videos or animations that are clear and fast. You can find many guides and tips on how to use stable diffusion on the internet.
You can also get help from StabilityAI and other users if you have any questions or problems. Unstable diffusion is adventurous and experimental.
You can use unstable diffusion to make different kinds of pictures that are creative and diverse.
You can also use unstable diffusion to make vague or abstract pictures that are surprising and fun.
You can find some information on how to use unstable diffusion on the internet, but it may not be accurate or helpful. You may also face bugs or errors that are not fixed by the people who made unstable diffusion.
#4. What they can do
Stable diffusion and unstable diffusion can both make amazing pictures from words or other pictures.
They have different strengths and weaknesses depending on what kind of pictures you want to make.
Stable diffusion is good for making realistic and user-friendly pictures. Unstable diffusion is good for making adventurous and experimental pictures.
Who made stable and unstable diffusion?
Stable diffusion is made by a company called StabilityAI. They make things that can make pictures from words or other pictures.
They started making stable diffusion in 2022 and many people use it for fun or work.
For example, some people use stable diffusion to make art, design, or animation. Some people also use stable diffusion to make videos or cartoons from words or pictures.
Unstable diffusion is not made by StabilityAI. It is made by some people who do not say their names.
They are not with StabilityAI and they do not work for StabilityAI.
They made unstable diffusion by changing some parts of stable diffusion. They wanted to see what else they could do with diffusion. They also wanted to make pictures that stable diffusion cannot make.
What can stable and unstable diffusion do?
Stable and unstable diffusion can both make pictures from words or other pictures. But they can make different kinds of pictures.
Stable diffusion can make good pictures from any word you say.
For example, you can say “a blue dragon flying over a mountain” or “a portrait of Albert Einstein” and stable diffusion will make a picture for you.
Stable diffusion can also make videos or animations from words or pictures.
For example, you can say “a cat chasing a mouse” or show a picture of a car, and stable diffusion will make a video or an animation for you.
Unstable diffusion can also make pictures from words, but it can make more kinds of pictures than stable diffusion.
For example, unstable diffusion can make pictures that are sexy or scary. Stable diffusion cannot make these kinds of pictures because StabilityAI does not let it.
Unstable diffusion can also make more creative and different pictures from words that are not clear or specific.
For example, you can say “a dream” or “a nightmare” and unstable diffusion will make a picture for you. Stable diffusion may not be able to make these kinds of pictures because it needs more details.
How do stable diffusion and unstable diffusion work?
Stable diffusion and unstable diffusion both work by using noise and neural networks. But they use different amounts of noise and different kinds of neural networks.
Stable diffusion uses a fixed amount of noise that is decided by StabilityAI.
This means that the noise is always the same for every picture. This helps stable diffusion to make pictures that are consistent and coherent with the word or the picture you give.
For example, if you say “a blue dragon flying over a mountain”, stable diffusion will always make a picture that looks like a blue dragon flying over a mountain.
Unstable diffusion uses a variable amount of noise that is decided by you.
This means that you can change the noise for every picture. This helps unstable diffusion to make pictures that are unpredictable and artistic with the word or the picture you give.
For example, if you say “a blue dragon flying over a mountain”, unstable diffusion may make different pictures depending on how much noise you use.
More noise may make the picture more abstract and less noise may make the picture more realistic.
Stable diffusion and unstable diffusion also use different kinds of neural networks.
Neural networks are smart programs that learn how to remove noise from pictures and make them look like words or other pictures.
Stable diffusion uses a small neural network that is easy to use and fast to run.
This helps stable diffusion to work on many devices like computers or laptops that have GPUs. GPUs are special parts of devices that help them run faster.
Unstable diffusion uses a big neural network that is hard to use and slow to run.
This helps unstable diffusion to have more options and possibilities for making pictures.
Unstable diffusion has more space and flexibility for storing and changing information about pictures.
This space is called latent space and it is like a hidden code that represents the picture data. Unstable diffusion can use this space to make more variations and combinations of pictures.
How can you get stable diffusion and unstable diffusion?
Stable diffusion and unstable diffusion are both available to everyone, but they are not easy to get or use.
Stable diffusion is easy to get and use because StabilityAI gives it to everyone for free.
You can download stable diffusion from StabilityAI’s website or from other websites that share it.
You can also find many guides and tips on how to use stable diffusion on the internet. There are many people who use stable diffusion and they can help you if you have any questions or problems.
Unstable diffusion is hard to get and use because StabilityAI does not give it to anyone.
You can only get unstable diffusion from some websites or forums that are not official or safe. These websites or forums are made by the people who made unstable diffusion or by the people who like unstable diffusion.
They share the files and instructions for using unstable diffusion, but they may not work on all devices or platforms.
They may also have bugs or errors that are not fixed by the people who made unstable diffusion.
Which one should you choose: stable diffusion or unstable diffusion?
Stable diffusion and unstable diffusion are both powerful and amazing ways of making new pictures from words or other pictures. They have different benefits and drawbacks depending on what you want and need.
Stable diffusion is good for you if you want to make high-quality pictures that are reliable and user-friendly.
Stable diffusion is also good for you if you want to make videos or animations that are smooth and clear. Stable diffusion is easy to get and use and it has a lot of support and help from StabilityAI and other users.
Unstable diffusion is good for you if you want to make different kinds of pictures that are adventurous and experimental. Unstable diffusion is also good for you if you want to make creative and diverse pictures that are vague or abstract. Unstable diffusion is hard to get and use, but it has a lot of options and possibilities for making pictures.
You can choose the one that suits your needs and interests and have fun with making new pictures from words or other pictures.
You can also try both of them and see which one you like more. You can use your imagination and creativity with stable diffusion and unstable diffusion.
