The piece further explores the ethical implications of AI-generated art, particularly when the AI is instructed to emulate a specific artist's style. It also warns against using these AI art generators for anything other than personal enjoyment due to the lack of legal precedent for AI-generated images. The article concludes by ranking various AI art generators, with VQGAN, a Python-based Google Colab notebook, and Stability AI's Stable Diffusion among the top-rated for their simplicity and artistic ability.
Key takeaways:
- AI text-to-video generators are still in their early stages, with companies like Shutterstock, Adobe, and Getty Images exploring AI image generators. However, the quality and usability of these generators vary, and they often require payment for more advanced features.
- Legal issues surrounding AI-generated images are still unresolved, particularly regarding the use of copyrighted photos to train the AI. Therefore, it is advised to use these images for personal enjoyment rather than commercial use.
- Several AI image generators were reviewed in the article, including ModelScope, Zeroscope v2, Runway.Ml, Pixray, DeepAI, Craiyon, Shutterstock, Hotpot.ai, Dream Studio, Stable Diffusion, VQGAN, Wombo Dream, Starry AI, Deep Dream Generator, Nightcafe, and DALL-E 2. Each has its own strengths and weaknesses, with varying levels of image quality, resolution, and usability.
- Despite the advancements in AI image generation, the author suggests that there is still a long way to go, particularly in terms of creating images that are not derivative or reliant on copying and replicating art found on the internet.