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lucataco /bulk-video-caption:bd610b3c
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| video_zip_archive |
string
|
ZIP archive containing videos to process
|
|
| include_csv |
boolean
|
True
|
Whether to include CSV in output
|
| caption_prefix |
string
|
|
Optional prefix for video captions
|
| caption_suffix |
string
|
|
Optional suffix for video captions
|
| frames_to_extract |
integer
|
2
|
Number of frames to extract from each video for analysis
|
| system_prompt |
string
|
Analyze these frames from a video and write a detailed caption.
Describe the type of video (e.g., animation, live-action footage, etc.).
Focus on consistent elements across frames and any notable motion or action.
Describe the main subjects, setting, and overall mood of the video.
Use clear, descriptive language suitable for text-to-video generation.
|
System prompt for caption generation
|
| model |
string
(enum)
|
gpt-4o
Options: gpt-4o, gpt-4o-mini, gpt-4-turbo, claude-3-5-sonnet-20240620, claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307, gemini-1.5-pro, gemini-1.5-flash |
AI model to use for captioning
|
| openai_api_key |
string
|
API key for OpenAI
|
|
| anthropic_api_key |
string
|
API key for Anthropic
|
|
| google_generativeai_api_key |
string
|
API key for Google Generative AI
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}