These models provide utility functions for working with media like images, audio, and video. They serve as convenient building blocks for media processing pipelines and workflows.

Key capabilities:

• Background removal - Remove backgrounds from images and videos
• Content moderation - Detect NSFW images
• Audio visualization - Convert audio clips to animated waveforms
• Video editing - Extract frames, add captions, remove background, make cuts via transcript
• Format conversion - Convert between images, frames, video and GIFs

Our Pick: cjwbw/rembg

For most people, we recommend the cjwbw/rembg model for removing backgrounds from images. It’s blazing fast, easy to use, and produces great results. With over 1.4 million runs, it’s battle-tested and very popular.

Also Great: falcons-ai/nsfw_image_detection

If you need to moderate image content, falcons-ai/nsfw_image_detection is an excellent choice. This fine-tuned vision transformer classifies images as safe-for-work or not-safe-for-work. It’s widely used with over 25 million runs.

Noteworthy

A few other models to consider for common media processing tasks:

• fofr/audio-to-waveform - Visualize audio as an animated waveform video
• fofr/controlnet-preprocessors - Prepare ControlNet inputs like canny edges, depth, segmentation, etc.
• fofr/video-to-frames and fofr/frames-to-video - Convert between video and frames
• fofr/toolkit - Swiss army knife for quick video edits
• jd7h/edit-video-by-editing-text - Make cuts to video by editing the transcript