The Current Absurd State of Generating AI Images

Introduction

AI-generated images have come a long way in recent years, with the technology advancing to the point where renderings can now be so realistic that it's difficult to tell them apart from real photos. This has opened up a whole new world of possibilities, including the rise of artificial influencers on platforms like Instagram. There is even an Instagram model with 2.7 million followers whose images are just a rendered face slapped on top of a real person.

But what is stopping AI startups from creating even bigger AI influencers using the latest AI technology? The answer is nothing. In fact, AI-generated images have improved significantly in recent months, thanks to advancements in techniques like model mixing and merging.

One of the most popular AI models used for generating images is called "Laura." This model has been trained to connect concepts and trigger words, allowing users to guide it in generating specific images. However, Laura is just one of many variations of this model, with new variations like "Locon" and "Loha" offering subtle differences in performance and capabilities.

Another exciting development in AI image generation is the release of "SDXL" by Stability AI. This new model is trained at a higher resolution of 1024 by 1024 and incorporates a built-in image detail adder called the "refiner." While SDXL has the potential to revolutionize AI-generated images, it still faces challenges with running on less powerful computers and the slow generation speed.

Despite these challenges, AI-generated images are becoming more and more realistic and detailed. Tools like "After Detailer" and "ControlNet Tile" are used to improve major features of the generated images, while techniques like latent coupling and the use of "break" keywords help separate prompts and ensure accurate generation.

However, there are concerns that AI image generation is becoming too focused on aesthetics and blurring out flaws. This can lead to biases in model evaluation and a misdirection in AI model development. Additionally, the development of new models like SDXL and extensions for existing models like Waifu Diffusion XL are still in progress, with fine-tuning parameters being optimized.

In conclusion, AI image generation has reached an absurd state of realism and detail, with advancements in models like Laura and the introduction of SDXL pushing the boundaries even further. However, challenges still remain in terms of computing power and speed, and concerns exist regarding biases and the prioritization of aesthetics over accuracy.

Keywords: AI influencers, Laura, Locon, Loha, SDXL, model mixing, model merging, after detailer, controlnet tile, latent coupling, break keywords, model evaluation, biases, fine-tuning parameters

FAQ:

• Q: What is the current state of AI-generated images?
• Q: What is Laura and how does it work?
• Q: What are the challenges faced in AI image generation?
• Q: What is SDXL and how does it improve AI-generated images?
• Q: Are there concerns about biases and the focus on aesthetics in AI image generation?