Tweaks to the system have fine-tuned images of spectrograms.
Stable Diffusion has been tweaked to include an update to its AI routines to include a fine-tuning of the images of spectrograms that are paired to text. Now they are able to generate more precise sounds. The team calls their version of the stable diffusion model, Riffusion.See AlsoThe tweaks have enabled the system to now have unlimited variations of the prompt. This is accomplished by varying the seed.
Stable Diffusion uses a Short-time Fourier transform to compute the spectrogram image, The STFT approximates the sound using a series of sine waves in the various phases and amplitudes. It is possible to condition the creations of the diffusion model to work with text and images. The Stable Diffusion team states that this is a useful modifier to sounds, while still keeping the original sound slip.
If the AI is used on 100 clips there can be no concatenating of those clips, because of all the differences in tempo, key, tonal quality, and rhythm. The way to get around this problem is to use one image.
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