llava

Answer questions and describe images through natural language conversations.

Updated May 11, 2026

Search Tags:#multimodal #image analysis #image description #language models #visual question answering

Ready to run

npx skills add https://github.com/richardnguyen0715/keep-it-real --skill llava-richardnguyen0715

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llava
Source: https://github.com/richardnguyen0715/keep-it-real/tree/main/refer-projects/hermes-agent/optional-skills/mlops/llava
Command: npx skills add https://github.com/richardnguyen0715/keep-it-real --skill llava-richardnguyen0715

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires transformers, torch, pillow, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables you to interact with images using natural language, allowing for visual question answering, image description, and more, saving time and enhancing understanding.

Core Features & Use Cases

Visual Question Answering (VQA): Answer questions about images with high accuracy.
Image Description and Captioning: Generate detailed descriptions or captions for images.
Multi-turn Image Conversations: Engage in interactive dialogues with images.
Use Case: Imagine you need to analyze a complex scientific image. Use this Skill to ask specific questions about the image and receive detailed, informative responses.

Quick Start

Use the llava skill to analyze the image 'screenshot-of-science.png' and answer the question "What is the main object in this image?".

Frequently Asked Questions about llava

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I answer questions about an image using natural language?▼

Visual question answering is achieved by processing the image with pillow and torch, then using transformers to map visual features to a language model for generating accurate text responses.

Can I generate detailed captions for images using transformers and torch?▼

Image description and captioning are supported natively, allowing you to generate detailed textual descriptions from visual inputs by leveraging the integrated multimodal language model capabilities.

Does this multimodal approach support multi-turn conversations about an image?▼

Multi-turn image conversations are supported, enabling you to engage in interactive dialogues where you can ask sequential questions about specific objects or details within the same image.

Do I need to install pillow and torch to perform image analysis?▼

You need pillow, torch, and transformers installed in your environment, as these libraries handle the underlying image processing and language understanding required for multimodal analysis.

What is the best way to identify objects in a complex scientific image?▼

Object identification in complex scientific images is handled by using natural language queries to ask specific questions, receiving detailed informative responses based on the visual content.