Easy answer: generators don’t understand that two bimbos are two people- it thinks of them as one object.
Artificial Intelligence (AI) image generators have made remarkable strides in producing realistic and detailed images, but a persistent challenge remains: rendering scenes with more than one subject. For example, if you want to render an orgy, threesome, or duo scene, the AI will give you a hard time more often than not, depending on the program you’re using, its dataset, and how it works. Their faces will be far less beautiful, sometimes straight-up disfigured. Their arms will be weird, or there will be extra floating around for some reason beyond my understanding.
This difficulty stems from the intricate interplay of different variables that the systems navigate to create cohesive and convincing visual compositions.
A big issue that makes rendering certain NSFW scenes is the AI’s understanding of context and relationships between multiple subjects within a single image. Generators don’t understand that two bimbos are two people- it thinks of them as one object.
AI image generators often struggle to grasp the subtle nuances of interactions between objects or people, resulting in distorted, awkward, or downright fucked-up compositions. While AI excels at recognizing and generating individual elements, such as faces or objects, comprehending the intricate spatial relationships and dynamic interplay between these elements proves to be outside its skill set at this current point in time.
Another key factor is the inherent complexity of multi-subject scenes. As the number of subjects increases, the permutations of possible relationships and interactions grow exponentially. AI models, even with advanced algorithms and vast datasets, may struggle to process the various possibilities and select the most contextually appropriate ones. This can lead to disjointed or nonsensical images where subjects appear randomly placed rather than harmoniously integrated.
Another challenge lies in maintaining consistency across the diverse elements we often demand in a scene. Lighting, shadows, and perspective must align perfectly to create a realistic image. AI image generators often face difficulty in understanding how to weave all these elements together, resulting in inconsistencies that compromise the overall viability of the scene.
Training AI models to understand and represent complex relationships- such as that between a giant tentacle monster and six women and their individual assholes/vaginas/mouths- is an ongoing research area. While advancements such as attention mechanisms and improved neural network architectures have shown promise, the inherently subjective nature of artistic interpretation adds an additional layer of complexity.
Unlike tasks with well-defined objectives, such as image classification, generating aesthetically pleasing and contextually rich multi-subject scenes requires a more nuanced understanding of artistic principles and human perception.
The challenges faced by NSFW AI image generators in rendering more than one subject are multifaceted. From understanding intricate relationships to maintaining visual consistency, the complexity of multi-subject orgy scenes highlights the need for continued research and innovation in the field of AI image generation. As the technology advances, addressing these challenges will bring us closer to AI systems capable of creating spicy, sophisticated, and captivating visual narratives.
We can look forward to the day of properly-rendered bimbos doing unspeakable things to each other, but we just gotta wait for our researchers to get it figured out.
