Comments (7)
@scf4 Public figures working in ML like the authors of Riffusion should stick to royalty free datasets. The strategy for AI music will be to make fine-tuning really easy and available to all, easy enough for a 12 y/o to do it comfortably just by following a few easy steps. 12 y/o kids don't care about copyrights, it will be limewire all over again and this time the music industry will be utterly powerless.
from riffusion.
I've opened a similiar issue on the app's repository: riffusion/riffusion-app#12
Dataset info is very important and will open doors for creators everywhere.
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I understand why they don't disclose it, though - to them, it just invites possible headaches.
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Additional fine tuning and data information has been added to the model-card. This was trained using approaches similar to hugging face examples, but fine-tuning can be achieved with very small datasets using a dreambooth approach. Will look to add tools to make fine tuning on your own data simpler.
from riffusion.
@scf4 Public figures working in ML like the authors of Riffusion should stick to royalty free datasets. The strategy for AI music will be to make fine-tuning really easy and available to all, easy enough for a 12 y/o to do it comfortably just by following a few easy steps. 12 y/o kids don't care about copyrights, it will be limewire all over again and this time the music industry will be utterly powerless.
If you check out OpenAI's jukebox project, they've clearly trained with copyrighted music and don't really care.
from riffusion.
@scf4 Public figures working in ML like the authors of Riffusion should stick to royalty free datasets. The strategy for AI music will be to make fine-tuning really easy and available to all, easy enough for a 12 y/o to do it comfortably just by following a few easy steps. 12 y/o kids don't care about copyrights, it will be limewire all over again and this time the music industry will be utterly powerless.
If you check out OpenAI's jukebox project, they've clearly trained with copyrighted music and don't really care.
OpenAI can get rights to them.
from riffusion.
I was also curious about the initial training. I'm not so bothered about specifics of the dataset (though general info on size would help) but more about training params (lr, bs, etc.) and duration (epochs/steps).
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Related Issues (20)
- Hello gentleman,download checkpoint to where? HOT 1
- 'bool' object is not iterable HOT 8
- Where do I download these models? HOT 2
- How to make my own model? HOT 2
- Dependencies in `requirements.txt` have module conflicts. HOT 2
- Playground doesnt work HOT 5
- Generate a music longer than 5 seconds? HOT 3
- audio2audio errors : `st.cache` is deprecated + missing 1 required positional argument: 'init_image'
- https://www.riffusion.com/about is down
- diffusers was upgraded and something need to be change?
- help, how to fix this problem? HOT 1
- ModuleNotFoundError: No module named 'diffusers.pipeline_utils' HOT 1
- Riffusion.com HOT 1
- __init__() got an unexpected keyword argument 'max_iter' HOT 7
- INFO:werkzeug:WARNING HOT 1
- RuntimeWarning: invalid value encountered in cast
- Prompt and setting of txt2img task
- ValueError: jaxlib.xla_extension.ArrayImpl
- OSError: riffusion/riffusion-model-v1 does not appear to have a file named model_index.json.
- About the language of the lyrics
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