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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01teticio /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 Face02teticio /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 Face03teticio /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 Face04teticio /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 Face05teticio /audio-diffusion-256Over 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 = 256 y_res = 256 sample_rate = 22050 n_fft = 2048 hop_length = 512 imageimage-to-image10K<n<100K6 likes39 downloads4y agoHugging Face06tvergho /audio-diffusion-512 Dataset Card for "audio-diffusion-512" More Information needed image1K<n<10K0 likes24 downloads4y agoHugging Face07ChrisOpenSource /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<100K0 likes23 downloads2mo agoHugging Face08glukas /smd-audio-diffusion-256 Dataset Card for "smd-audio-diffusion-256" More Information needed image1K<n<10K0 likes15 downloads3y agoHugging Face09ndxbxrme /audio-diffusion-256-isolated-drums Dataset Card for "audio-diffusion-256-isolated-drums" More Information needed image1K<n<10K0 likes13 downloads4y agoHugging Face10mdc202002 /audio-diffusion-128-DPimage1K<n<10K0 likes12 downloads4y agoHugging Face11pseudohappy /audio-diffusion-256 Dataset Card for "audio-diffusion" More Information needed image1K<n<10K0 likes6 downloads3y agoHugging Face12glukas /smd-bach-audio-diffusion-128 Dataset Card for "smd-bach-audio-diffusion-128" More Information needed imagen<1K0 likes4 downloads3y agoHugging Face

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