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OpenAI released the text-to-video generation model Sora, making the Internet boil again. This article uses Sora to generate a video to dismantle the prompt word cheat formula and compare its effects with competing products. Let’s take a look. In the early morning of February , , OpenAI officially released the text-to-video generation model Sora, which directly generates s videos, -lens switching, and was even featured on CCTV news. Currently, Sora is not open and invitation codes are only open to a few directors and artists. At


this point, the era of Hollywood is over, and the era has come when Phone Number Data everyone can make video movies! Today we will use Sora to generate videos to dismantle the prompt word cheat formula, compare the video generation effects of competing products, and analyze the advantages and disadvantages of Sora and the principles of the Sora model. Comparison of AIGC video model effects First, let us take a look at the comparison of the basic parameters of the current mainstream AI video tools Runway, Pika, Stable Video Diffusion and Sora. Including release time,





feature style, generation time, frames per second and resolution, as shown in the figure below. Subject to the physical and spatio-temporal reasoning limitations of AI text-to-video generation, the current mainstream AI video tools Runway, Pika, and Stable Video Diffusion usually generate videos in about S, and the maximum length of a single coherent video is seconds. This time, Sora's maximum generation length is seconds, killing everyone in an instant. words super complete dismantling | Sora prompt word cheats and comparison of the effects of competing products Case number one Next, let’s take a look at a video effect generated by Sora.