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audio diffusion

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All datasets matching “audio diffusion”
teticio /audio-diffusion-1024Over 20,000 256x256 mel spectrograms of 5 second samples of music from my Spotify liked playlist. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models. x_res = 1024 y_res = 1024 sample_rate = 44100 n_fft = 2048 hop_length = 512 imageimage-to-image10K<n<100K0 likes299 downloads4y agoHugging Faceteticio /audio-diffusion-512Over 20,000 512x512 mel spectrograms of 5 second samples of music from my Spotify liked playlist. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models. x_res = 512 y_res = 512 sample_rate = 22050 n_fft = 2048 hop_length = 512 imageimage-to-image10K<n<100K2 likes141 downloads3y agoHugging Facecrlandsc /tiny-audio-diffusion-drums Drum Samples Drum Samples used to train in tiny-audio-diffusion Checkpoints: Hihats: https://huggingface.co/crlandsc/tiny-audio-diffusion-hihats Kicks: https://huggingface.co/crlandsc/tiny-audio-diffusion-kicks Snares: https://huggingface.co/crlandsc/tiny-audio-diffusion-snares Percussion: https://huggingface.co/crlandsc/tiny-audio-diffusion-percussion audio1K<n<10K3 likes98 downloads2y agoHugging Faceteticio /audio-diffusion-instrumental-hiphop-256256x256 mel spectrograms of 5 second samples of instrumental Hip Hop. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models. x_res = 256 y_res = 256 sample_rate = 22050 n_fft = 2048 hop_length = 512 imageimage-to-image10K<n<100K7 likes84 downloads4y agoHugging Faceteticio /audio-diffusion-breaks-25630,000 256x256 mel spectrograms of 5 second samples that have been used in music, sourced from WhoSampled and YouTube. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models. x_res = 256 y_res = 256 sample_rate = 22050 n_fft = 2048 hop_length = 512 imageimage-to-image10K<n<100K2 likes77 downloads4y agoHugging Facekeitcazu2000 /latent-diffusion-audio-checkpoints1 likes42 downloads3mo agoHugging Face