A recent publication by the InstantX team in Beijing introduces a novel AI image generation method named InstantID. This technology boasts the capability to swiftly identify individuals and generate new images based on a single reference image.
Despite being hailed as a “new state-of-the-art” by Reuven Cohen, an enterprise AI consultant, concerns arise regarding its potential misuse for creating deepfake content, including audio, images, and videos, especially as the 2024 election approaches.
Cohen highlights the downside of InstantID, emphasizing its ease of use and ability to produce convincing deepfakes without the need for extensive training or fine-tuning. According to him, the tool’s efficiency in generating identity-preserving content could lead to a surge in highly realistic deepfakes, requiring minimal GPU and CPU resources.
In comparison to the prevalent LoRA models, InstantID surpasses them in identifiable AI image generation. Cohen, in a LinkedIn post, bids farewell to LoRA, dubbing InstantID as “deep fakes on steroids.”
The team’s paper, titled “InstantID: Zero-shot Identity-Preserv
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