That’ll get you started. Should see you sorted for the next month of learning. Once you’ve got the basics of using Stable Diffusion (one of many image gen software) and you have the software under control you can start looking at using custom training models for getting the styles you want and learn how to start getting the results similar to what you want, they won’t be good, most will be trash, then you’ll need to learn about ControlNet, this will get you introduced to wireframe posing, depth maps, softedge, canny, and a dozen other pre-processing tools, once you start getting things that look kinda close to what you want you’ll learn about multi-pass processing, img2img generation, full and selective inpainting, and you’ll start using tools like ADetailer to help try generate better looking hands faces and eyes, and then you’ll need to get into learning how to use Latent-Couple and ComposableLora so you can start making accurate scene placements and style divisions. Don’t worry about the plethora of other more complex tools, you won’t need those at the start.
I absolutely know much on the topic. Please read my comments elsewhere in this thread for a strong break down of the issues and how AI actually works. Btw, the source of my authority on all of it is having a Master’s degree in art, working in a professional art field, having a BS in Applied Mathematics, and building AI’s as a hobby. I live in literally every aspect of this debate.
TL:DR - AI models are never trained directly on source material. Sources are fed into statistical analysis algorithms that utterly destroy the sources and derive info that computers can understand in a process called Vectorization. The AI is then trained on those vectors. Then, when a prompt is given, the algorithm takes it apart as an input in a process called Tokenization. From the input, in an algorithm that goes beyond the scope of this, an output is given that statistically satisfies the model. So even in the usage process, the AI never actually directly works on human inputs.
I should look into using said algorithms?
I know what they can do, but if that’s through ripping off the work of others I’m not sure I like it.
Would you pay an artist if you knew their work was traced?
Here, first you need tools, these are FOSS:
https://www.dexerto.com/tech/how-to-install-stable-diffusion-2124809/
https://www.youtube.com/watch?v=nBpD-RbglPw
https://www.youtube.com/watch?v=SYNd0vAt5jk
Then you’ll need to know the basics of using Stable Diffusion:
https://www.youtube.com/watch?v=nBpD-RbglPw
You’ll want access to community resources:
https://civitai.com
That’ll get you started. Should see you sorted for the next month of learning. Once you’ve got the basics of using Stable Diffusion (one of many image gen software) and you have the software under control you can start looking at using custom training models for getting the styles you want and learn how to start getting the results similar to what you want, they won’t be good, most will be trash, then you’ll need to learn about ControlNet, this will get you introduced to wireframe posing, depth maps, softedge, canny, and a dozen other pre-processing tools, once you start getting things that look kinda close to what you want you’ll learn about multi-pass processing, img2img generation, full and selective inpainting, and you’ll start using tools like ADetailer to help try generate better looking hands faces and eyes, and then you’ll need to get into learning how to use Latent-Couple and ComposableLora so you can start making accurate scene placements and style divisions. Don’t worry about the plethora of other more complex tools, you won’t need those at the start.
You know nothing on the subject and it shows.
I absolutely know much on the topic. Please read my comments elsewhere in this thread for a strong break down of the issues and how AI actually works. Btw, the source of my authority on all of it is having a Master’s degree in art, working in a professional art field, having a BS in Applied Mathematics, and building AI’s as a hobby. I live in literally every aspect of this debate.
TL:DR - AI models are never trained directly on source material. Sources are fed into statistical analysis algorithms that utterly destroy the sources and derive info that computers can understand in a process called Vectorization. The AI is then trained on those vectors. Then, when a prompt is given, the algorithm takes it apart as an input in a process called Tokenization. From the input, in an algorithm that goes beyond the scope of this, an output is given that statistically satisfies the model. So even in the usage process, the AI never actually directly works on human inputs.
Cool, so do I. I’ve been a software developer and digital artist for 25 years. I now use AI tools to assist my work flow for both.
Fun. Apologies for misinterpreting your comment.