Generate captions for images, videos, and documents using GLM-V multimodal models.
npx skills add https://github.com/ViewWay/openclaw-skills --skill glmv-caption-viewway
Please help me install this Agent Skill. Skill: glmv-caption Source: https://github.com/ViewWay/openclaw-skills/tree/main/glmv-caption Command: npx skills add https://github.com/ViewWay/openclaw-skills --skill glmv-caption-viewway
This skill generates descriptive captions for images, videos, and documents using the GLM-V multimodal model, enabling quick content understanding and accessibility.
Provide an image, video, or document to the GLM-V Caption Skill to generate a caption describing its content.
High-intent search queries and answers about installing and using this skill.
To generate captions for images and videos, you can use the GLM-V multimodal model to process inputs from URLs or local files and produce descriptive text summarizing the visual content.
Yes, you can summarize document content and interpret scenes by providing local files or URLs to the GLM-V model, which supports multiple input types including images, videos, and documents.
Using GLM-V for media captioning requires an API key and the requests library. The system validates inputs against model capabilities and enforces API key requirements with robust error handling.
Yes, the GLM-V caption API supports both image and video inputs. It validates these multiple input types against model capabilities to ensure accurate media content description and scene summarization.
When media captioning encounters unsupported inputs, the system applies robust error handling by validating inputs against model capabilities, ensuring that invalid files or URLs are caught before processing.
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