From the course: Hands-On Generative AI with Diffusion Models: Building Real-World Applications
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Demo: Music generation with diffusion models
From the course: Hands-On Generative AI with Diffusion Models: Building Real-World Applications
Demo: Music generation with diffusion models
- [Instructor] While diffusion models are commonly associated with image generation, today we're exploring their application in another exciting domain. Let's dive into how these models can be used to create unique soundscapes and generate audio. First, we need to set up our environment. We're installing libraries essential for working with diffusion models in audio. These include the diffusers library for the model, torch for processing and soundfile for handling audio files. Next, we initialize our AudioLDMPipeline. This pipeline is specifically designed for generating audio using diffusion models. We use the cvssp/audioldm-s-full-v2 model here. This model is known for its capability in audio synthesis. We also use the .to("cuda") command and set the pipeline to run on this GPU for efficient inference. Next, it's time to configure our generation parameters. We're setting a text_prompt that guides the type of audio we want to create. For this tutorial, I've chosen a symphony of…
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