This is a simplified guide to an AI model called Autocaption maintained by Fictions-Ai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The autocaption model is a Cog implementation of a tool that automatically adds captions to videos. It is created by the team at Fictions.ai. This model can be useful for automatically generating subtitles for videos, which can improve accessibility and make content more engaging for viewers who may not have the audio on or who prefer reading captions.
The autocaption model has some similarities to other video transcription and captioning models like whisperx-video-transcribe and text-to-speech models like styletts2, but it is focused specifically on the task of adding captions to existing video files.
Model inputs and outputs
The autocaption model takes a video file as its main input and generates a video file with captions overlaid on top. It also has several customization options, including the ability to adjust the font, color, size, and position of the captions.
Inputs
- video_file_input: The video file to be captioned
- transcript_file_input: An optional transcript file that can be used instead of the model's own speech recognition
- font: The font to use for the captions
- color: The color of the captions
- kerning: The spacing between the letters in the captions
- opacity: The opacity of the captions background
- MaxChars: The maximum number of characters to display per caption
- fontsize: The size of the captions font
- translate: Whether to translate the captions to English
- stroke_color: The color of the captions' stroke
- stroke_width: The width of the captions' stroke
- right_to_left: Whether to display the captions right-to-left
- subs_position: The position of the captions on the video
- highlight_color: The color to use for highlighting the captions
- output_video: Whether to output the video with captions
- output_transcript: Whether to output a transcript file
Outputs
- The input video file with captions overlaid
- An optional transcript file
Capabilities
The autocaption model can automatica...
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