Pix2Pix Video Input Demo

Introduction

Flickering is currently the state of the art when it comes to generating videos with Diffusion models. The latest development in this field is the InstructPix2Pix model, which has caught the attention of both art enthusiasts and AI researchers. Inspired by the work of @TomLikesRobots, @CoffeeVectors recently showcased an almost flickerless video using the new InstructPix2Pix model.

The InstructPix2Pix Model

The InstructPix2Pix model is a powerful tool for generating realistic videos. It utilizes a conditional GAN (Generative Adversarial Network) where the generator is trained to convert a given input image into a corresponding output video. Unlike traditional Pix2Pix models, InstructPix2Pix allows users to provide specific instructions for generating videos with desired attributes, minimizing flickering effects.

@CoffeeVectors' Demo

In a recent Instagram reel shared by @CoffeeVectors, a stunning video generated using the InstructPix2Pix model was showcased. The video demonstrated a remarkable reduction in flickering compared to previous models. Flickering is one of the major challenges when it comes to creating coherent and visually appealing videos with AI. However, with InstructPix2Pix, the flickering issue seems to have been significantly mitigated.

To experience the amazing flickerless video created by @CoffeeVectors using the InstructPix2Pix model, click here.

Conclusion

The InstructPix2Pix model represents a substantial advancement in the field of video generation with AI. By addressing the flickering problem, it opens up new possibilities for creating high-quality, lifelike videos. The work of artists and researchers like @TomLikesRobots and @CoffeeVectors is pushing the boundaries of AI art and inspiring further exploration. Make sure to check out the captivating video on Instagram and witness the potential of the InstructPix2Pix model yourself!