As a multifunctional generation platform, Goku provides three core functional modules: text-to-video (T2V), image-to-video (I2V) and text-to-image (T2I). Each module adopts a unified underlying architecture, but optimizes specific sub-networks for different tasks. For example, the I2V module contains specialized motion prediction headers that analyze potential motion cues in the input image, while the T2V module enhances text-visual alignment training to ensure semantically accurate representation.
Performance test data shows that Goku's CLIP-Score reaches 0.82 in the MSR-VTT text-to-video task, outperforming mainstream commercial solutions. Its image-to-video conversion accuracy reaches 89% on the Something-Something V2 dataset, and it is particularly good at handling commands such as "open a book" that require understanding of object interactions. For text-to-image generation, the model has a FID score of 3.7 on the COCO dataset and produces images with detail comparable to professional photography.
The application report of a multinational advertising group pointed out that using Goku's unified interface to handle print ad design and video ad production at the same time, the project cycle time was shortened by 60%, and the consistency of cross-media content style was improved to 98%.
This answer comes from the articleGoku: Generates detailed and consistent videos, ideal for creating commercials with detailed characters and objects.The
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