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Vokoda ya Usambazaji wa DiffWave
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Riffusion adapts a text-to-image diffusion model to generate audio by generating spectrogram images and reconstructing waveforms.
Sikiliza mwongozo huuInaonyeshwa na AI · ~2 min
It is a research and creative example; its outputs require listening and technical validation.
Released as a hobby project in 2022, Riffusion fine-tuned Stable Diffusion on paired text and spectrogram images. A spectrogram places time horizontally and frequency vertically, with pixel intensity representing magnitude or energy; this version uses a mel-frequency representation. The generated magnitude representation omits phase. Riffusion uses Griffin-Lim iterations to estimate phase and reconstruct a waveform, which can introduce audible artifacts. Its image-model adaptation demonstrates a route to audio generation, but does not guarantee musical quality or licensing status.
Exploring short musical sketches from text prompts
Comparing how prompt changes affect generated spectrogram patterns
Interpolating between prompt embeddings to explore transitions between sound ideas
Prototyping a musical idea before arranging or recording it in an audio workstation
Riffusion demonstrates one way to adapt an image-diffusion pipeline for audio by generating spectrogram images and reconstructing waveforms. The core project is marked no longer actively maintained. Generated clips should be checked for reconstruction artifacts and for rights appropriate to their intended use.
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Riffusion adapts a text-to-image diffusion model to generate audio by generating spectrogram images and reconstructing waveforms. It is a research and creative example; its outputs require listening and technical validation.
Usambazaji Imara uliosanifiwa vizuri, muundo wa uenezaji wa picha, ili kutoa picha za spectrogram ambazo hubadilishwa kuwa sauti.
The spectrogram maps time horizontally and frequency vertically.
Sspectrogram huhifadhi ukubwa lakini hutupilia mbali awamu, kwa hivyo Griffin-Lim anakadiria mara kwa mara awamu ili kuunda upya muundo wa mawimbi unaoweza kuchezwa.
Riffusion’s pipeline supports prompt interpolation, allowing a transition between two prompt-conditioned generations.
Riffusion ilianza kama mradi wa hobby na Seth Forsgren na Hayk Martiros, iliyotolewa hadharani mwishoni mwa 2022.
Endelea kujifunza
Miongozo zaidi imechaguliwa kwa mada hii
InayofuataMwongozo unaofuata
Vokoda ya Usambazaji wa DiffWave
Sauti AI