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== <big><big>'''Frequently asked questions'''</big></big> ==
== <big><big>'''Frequently asked questions'''</big></big> ==
=== '''What are AI generated images?''' ===
=== '''What are AI generated images?''' ===
A new type of AI called diffusion models are capable of generating high-quality images. They learn concepts by observing billions of images of ''everything''. While you can have the models generate images entirely for you with text prompting, there are many other means of controlling their output to varying degrees. They can be used as render engines for CAD software, for example.
In case you haven't heard, a new type of AI called diffusion models are capable of generating high-quality images. They learn concepts by observing billions of images of ''everything''. While you can have the models generate images entirely for you with text prompting, there are many other means of controlling their output to varying degrees. They can be used as render engines for CAD software, for example.


Under the hood, they're the same type of AI as large language models such as ChatGPT: a [https://en.wikipedia.org/wiki/Transformer%20(deep%20learning%20architecture) transformer] using the [https://en.wikipedia.org/wiki/Attention_Is_All_You_Need attention mechanism].
Under the hood, they're the same type of AI as large language models such as ChatGPT: a [https://en.wikipedia.org/wiki/Transformer%20(deep%20learning%20architecture) transformer] using the [https://en.wikipedia.org/wiki/Attention_Is_All_You_Need attention mechanism].

Revision as of 21:57, 10 December 2024

⚠️ This article is a stub. Amorphant is working on it right now.

Frequently asked questions

What are AI generated images?

In case you haven't heard, a new type of AI called diffusion models are capable of generating high-quality images. They learn concepts by observing billions of images of everything. While you can have the models generate images entirely for you with text prompting, there are many other means of controlling their output to varying degrees. They can be used as render engines for CAD software, for example.

Under the hood, they're the same type of AI as large language models such as ChatGPT: a transformer using the attention mechanism.

Is AI art theft as some say?

No, not metaphorically, not literally. The difference is sharp and easy to see when the distinction is drawn between the reality and the misinformation: They not only don't deprive the original creator of their works, they don't store any portion of those works in any way. They can't be used to recreate works they learned from, outside of maliciously crafting them to do so, or works that are short and heavily used in thousands of times over, like the phrase "in God we trust" or the lyrics of Happy Birthday.

It should be noted that there is a massive amount of toxic misinformation directed at imagery making use of AI tools.

For the curious, here's a good introductory video by respected mathematics educator Grant Sanderson of 3blue1brown going over exactly how they work. Lengthy deep-dives into the technology are also available on his channel.

Why is there such backlash?

The companies that first created them had the gall to suggest replacing artists with them. Given that they can only produce things of value in the hands of artists, and are tools for artists rather than replacements, marketing diffusion models as artist replacements is about the worst kind of marketing they could have conceived of.

Unfortunately, anger about that gets misdirected at people making legitimate use of these tools as part of an actual creative process, and they feel justified in using any tactics to fight against it, including flat out fabricating misinformation and acting as toxic as they feel justified in acting.

Do you support these companies?

No, none of them get a red cent from me. I use a free model run locally on a PC with a beefy GPU. I fine-tune it myself, developing a style based on an aesthetic I wanted that no one was coming close to. I'm not releasing any of my own tunings, nor techniques I developed to bring things to life.

Is it artistic?

There are various use cases, creating a spectrum. Text prompting is obviously less artistic than manually editing an image afterward, or creating a textureless 3D scene in Blender and using a diffusion model for the final render.

When are you going to finish this FAQ?

Probably in the next few days.


Would you like to know more?