Model Card for Model ID
<!-- Model for generating a vocal melody with style indicated from text prompt onto an existing piece of audio (backtrack for song with drums, bass, and guitar, for example). -->
Model Details
riffusion-cnet-v2 is a fine-tuned version of Riffusion (created by Seth Forsgren and Hayk Martiros), which is a fine-tuned version of Stable Diffusion for generating spectrograms. We add control to Riffusion through ControlNet, which was developed by Lvmin Zhang and Maneesh Agrawala to add extra control to a SD model. This allows us to solve the task of "audio inpainting", which is not a spatially localized task for spectrograms like it is for images, as the positions of audio stems in a spectrogram are not separable in space.
- Developed by: [Zachary Shah, Neelesh Ramachandran, Mason Wang]
- Model type: [StableDiffusion]
- Language(s) (NLP): [English]
- License: [TBA]
- Finetuned from model: [https://huggingface.co/riffusion/riffusion-model-v1]
Model Sources [optional]
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- Repository: [https://github.com/zachary-shah/riff-cnet]
Rest of info to be added at future date.
Uses
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Direct Use
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
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Training Details
Training Data
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Training Procedure
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Preprocessing [optional]
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Training Hyperparameters
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Evaluation
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Testing Data, Factors & Metrics
Testing Data
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Factors
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Results
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Summary
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Environmental Impact
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Citation [optional]
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Glossary [optional]
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