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BLIP-2 is a vision-language framework that connects a frozen image encoder with a large language model for multimodal tasks. Use it for zero-shot image captioning, visual question answering, or image-text retrieval without task-specific fine-tuning. It's ideal for developers needing to add state-of-the-art visual understanding to LLM-based applications.

This skill enables text-to-image generation and image manipulation using Stable Diffusion via HuggingFace Diffusers. It supports image generation from prompts, image-to-image translation, inpainting, and custom pipeline creation. Developers should use it when building applications requiring AI-powered visual content generation or editing.

This Claude Skill provides text-to-music and text-to-audio generation using Meta's AudioCraft PyTorch library. It enables developers to generate music from descriptions, create sound effects, and perform melody-conditioned music generation. Key capabilities include using the MusicGen and AudioGen models for controllable, high-quality stereo audio output.

Whisper is OpenAI's multilingual speech recognition model for transcription and translation across 99 languages. It handles tasks like speech-to-text, podcast transcription, and processing noisy or multilingual audio. Developers should use it for robust, production-ready automatic speech recognition (ASR).