colab-multimodal-pipelines
CommunityUnified multimodal processing in Colab for text, image, audio, and video.
Authorkngender5
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of processing multiple modalities (text, image, audio, video) in a unified manner within Colab, allowing for complex workflows that combine vision LLMs, TTS, ASR, and image generation.
Core Features & Use Cases
- Multimodal Pipelines: Combines text, image, audio, and video processing in a single workflow.
- Vision LLMs: Integrates vision LLMs for descriptive and generative tasks.
- TTS and ASR: Incorporates text-to-speech and automatic speech recognition for voice interaction.
- Image Generation: Utilizes image generation models for creating visual content.
- Use Case: Imagine you want to create a video that combines a description of an image, a voice-over narrative, and generated images. This Skill can facilitate the entire process.
Quick Start
Run the 'image_to_audio_story' script with an image file to generate a description, story, and audio narrative.
Dependency Matrix
Required Modules
torchtransformersdiffusersTTSgradio
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: colab-multimodal-pipelines Download link: https://github.com/kngender5/hermes/archive/main.zip#colab-multimodal-pipelines Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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