Instructions to use Hyeon2/riffusion-musiccaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hyeon2/riffusion-musiccaps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hyeon2/riffusion-musiccaps", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Riffusion finetuned with google/musicCaps.
I found that prompt similar to dataset label returns more fidable result.
In my case I made a prompt with Chat GPT like this:
I'm writing prompt for music generation ai. I used captions like this: 1. someone is playing a high pitched melody on a steel drum. The file is of poor audio-quality. 2. This is a glitch music piece. There is a synth sound rising in pitch that resembles a triangle wave. There are granular synth samples being played randomly. A virtual percussive low-to-mid bell sound is playing a melody that resembles a marimba. There is an eerie feeling of flow. This piece could be used in the soundtracks of dystopian sci-fi movies. It could also be used in exploration sequences of video games. 3. This file contains an orchestral composition rising up while a lot of digital clicking sounds are in the foreground. This is an amateur recording. And the sounds seem to come from a different source. This song may be playing in an adventure videogame.
Now I want to make a soothing jazz with base with medium temp. Write a propmt in styles similar to above captions. Return one sentence with 3 lines
Response: Create a serene dance atmosphere with a dreamy melody, soothing synths, and a pulsing beat that gently propels listeners into a state of blissful tranquility, perfect for unwinding after a long day or enjoying a moment of peaceful dance.
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