Riffusion is a library for real-time music and audio generation with stable diffusion.
Read about it at https://www.riffusion.com/about and try it at https://www.riffusion.com/.
ποΈ Full Rewrite
This release contains a full rewrite of the Riffusion codebase to go from a hack to a quality software project.
- Rename the repository from
riffusion-inference
toriffusion
. SpectrogramParams
class that contains all conversion parameters, with sane defaults.SpectrogramConverter
class that converts between spectrogram tensors and audio.SpectrogramImageConverter
class that converts between spectrogram images and audio.- Leverage pydub
AudioSegment
in more places rather than raw numpy arrays. - Move common code into the
util
package. - Cache more computation and be careful about error checking.
- Move third party integrations into the
integrations
package. Share most of the code so they greatly simplify. pyproject.toml
for tool configuration- Overhaul README with more descriptive instructions.
π¨ This release is API compatible with the web app, but code that used this repository directly will need to be updated.
π©βπ» Riffusion CLI
Extensible command line interface for performing common tasks. See the README for details.
$ python -m riffusion.cli -h
usage: cli.py [-h] {audio-to-image,image-to-audio,sample-clips,print-exif} ...
positional arguments:
{audio-to-image,image-to-audio,sample-clips,print-exif}
audio-to-image Compute a spectrogram image from a waveform.
image-to-audio Reconstruct an audio clip from a spectrogram image.
sample-clips Slice an audio file into clips of the given duration.
print-exif Print the params of a spectrogram image as saved in the exif data.
options:
-h, --help show this help message and exit
π€ΎββοΈ Riffusion Playground
Extensible Streamlit app for interactive exploration of Riffusion. See the README for details.
π₯ MPS and CPU Backends
Riffusion now can run on MPS and CPU backends in addition to CUDA. See the README for details.
Also adds graceful detection and fallback of devices.
Closes: #15
π Stereo Spectrograms
Add tools to encode and decode stereo audio as spectrograms, using the G and B channels for left and right.
πΌοΈ Encode Spectrogram Params in Image EXIF
Add the ability to store spectrogram conversion parameters in EXIF metadata of the images, and the ability to decode back to audio from those params. This allows more flexibility for usage without assuming default parameters.
The SpectrogramParams
class has methods to convert to and from EXIF.
$ python -m riffusion.cli print-exif --image spectrogram.jpg
NUM_FREQUENCIES = 512
STEP_SIZE_MS = 10
MAX_VALUE = 46801012.0
MIN_FREQUENCY = 0
WINDOW_DURATION_MS = 100
MAX_FREQUENCY = 10000
PADDED_DURATION_MS = 400
SAMPLE_RATE = 44100
STEREO = 1
POWER_FOR_IMAGE = 0.25
π Post-Processing Filters
Add a capability to apply normalization and compression to audio using pydub.
π’ Test Suite
Add a suite of tests in the test/
package, and check in some test data.
They are automatically run on pull requests, configured from ci.yml.
audio_to_image_test.py
image_to_audio_test.py
image_util_test.py
linter_test.py
print_exif_test.py
sample_clips_test.py
spectrogram_converter_test.py
spectrogram_image_converter_test.py
π§Ή Lint Tools
These tools run in CI and must pass cleanly to merge.
PRs
- Rewrite the codebase to be high quality by @hmartiro in #36
- Enable ruff import sorting by @hmartiro in #38
- Add CI with github actions by @hmartiro in #37
- Streamlit app for interactive use of the model by @hmartiro in #40
- Add detail to readme by @hmartiro in #46
- Disable compression by default, too slow by @hmartiro in #47
- Improve interpolation playground by @hmartiro in #45
Full Changelog: v0.2.0...v0.3.0