Generate videos with AI
Create videos from text prompts or animate images using Google's Veo model.
Burn text, captions, or watermarks directly into video files.
Video · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
Use video.overlay_text() to burn text into videos with full control over styling and position, and video.crop() to extract a rectangular region.
pip install pixeltable
pxt.create_table()insert()add_computed_column()# Add a simple watermark in the cornervideos.add_computed_column(watermarked=videos.video.overlay_text('My Brand',font_size=24,color='white',opacity=0.7,horizontal_align='right',horizontal_margin=20,vertical_align='top',vertical_margin=20,))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Create videos from text prompts or animate images using Google's Veo model.
Turn a collection of images into an animated video with Ken Burns effects, text overlays, logos, and background music — using a fully declarative Pixeltable pipeline.
Pull frames from video files at specified intervals for analysis, thumbnails, or training data.
Detect objects in a video frame by frame: Pixeltable extracts the frames, runs YOLOX models on them and reassembles the frames into a video. Compare detection models and evaluate them against ground truth.