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docs/01-Intro.md

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# Introduction
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Cogkit is a powerful framework for working with cognitive AI models, focusing on multimodal generation and fine-tuning capabilities. It provides a unified interface for various AI tasks including text-to-image, text-to-video, and image-to-video generation.
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CogKit is a powerful framework for working with cognitive AI models, focusing on multimodal generation and fine-tuning capabilities. It provides a unified interface for various AI tasks including text-to-image, text-to-video, and image-to-video generation.
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## Key Features

docs/02-Installation.md

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# Installation
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Cogkit can be installed using pip. We recommend using a virtual environment to avoid conflicts with other packages.
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CogKit can be installed using pip. We recommend using a virtual environment to avoid conflicts with other packages.
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## Requirements
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docs/03-Inference/01-CLI.md

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# Command-Line Interface

docs/03-Inference/02-API.md

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# API
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Cogkit provides a powerful inference API for generating images and videos using various AI models. This document covers both the Python API and API server.
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CogKit provides a powerful inference API for generating images and videos using various AI models. This document covers both the Python API and API server.
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## Python API
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docs/04-Finetune/03-Data Format.md

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# Dataset Format
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`src/cogkit/finetune/data` directory contains various dataset templates for fine-tuning different models, please refer to the corresponding dataset template based on your task type:
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