【Stable Diffusion】もう1回顔だけ描き直す ADetailer

The speaker discusses the capabilities of 'Stable Diffusion' in creating art, mentioning that it can generate most types of paintings. They touch on the challenges of altering specific features, like changing a character's face without affecting the rest, and the limitations of the 'stable diffusion' feature. The speaker also talks about the trial and error process involved in getting the desired outcome and the frustration of not being able to modify certain parts without discarding the entire image. They introduce a feature within the software that allows for the selective editing of parts of an image, which is particularly useful for fine-tuning details. The process of using this feature is demonstrated, including the use of prompts and the application of the feature to specific areas of the image. The speaker concludes by highlighting the potential of this feature for artists and the learning curve involved in mastering it.

This paragraph delves into the complexities of AI's understanding and generation of human expressions. The speaker points out that while AI can generate images based on prompts, there's a gap in its ability to understand the nuanced meanings behind human expressions and actions. They discuss the AI's reliance on learned patterns and keywords, which can lead to strong outputs for familiar concepts but may fall short in conveying the intended meaning or emotion. The speaker also mentions the potential for future AI advancements to bridge this gap, allowing for more meaningful and accurate expression generation. They touch on the broader implications of AI learning from human achievements and how this can benefit future generations, drawing parallels to historical advancements in mathematics and technology.

The final paragraph shifts focus to the broader context of AI's role in art and expression. The speaker discusses the potential of AI to learn from and build upon the work of humans, suggesting that this could lead to new forms of creative expression. They also address concerns about AI potentially replacing human artists and the ethical considerations that arise from this. The speaker concludes by emphasizing the importance of understanding and learning from AI's capabilities, suggesting that this will be crucial for the continued development of human civilization and the arts.