The author of this content has a background in Fine Art and software engineering, giving them a unique perspective on image-generative AI systems. They provide a technical description of how AI image generation works, focusing on stable diffusion and the concept of latent spaces. They also discuss the challenges and limitations of using text as a guiding factor in image generation. In the second part of the content, the author expresses their predictions on the future of AI image generation, including the impact on physical media artists, the use of physical media in training AI, the potential replacement of certain types of illustration and writing, and the role of commercial illustrators in incorporating AI into their workflow. The author acknowledges the controversial nature of their opinions and emphasizes that they are predictions rather than desires.
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