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audio-diffusion_style_transfer

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nakas commited on Nov 5, 2022

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Update README.md

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@@ -1,8 +1,8 @@
 ---
-title: Audio Diffusion
 emoji: 🎵
 colorFrom: pink
-colorTo: blue
 sdk: gradio
 sdk_version: 3.1.4
 app_file: app.py
@@ -125,6 +125,7 @@ accelerate launch --config_file config/accelerate_sagemaker.yaml \
 ```bash
   --scheduler ddim
 ```
 Inference can the be run with far fewer steps than the number used for training (e.g., ~50), allowing for much faster generation. Without retraining, the parameter `eta` can be used to replicate a DDPM if it is set to 1 or a DDIM if it is set to 0, with all values in between being valid. When `eta` is 0 (the default value), the de-noising procedure is deterministic, which means that it can be run in reverse as a kind of encoder that recovers the original noise used in generation. A function `encode` has been added to `AudioDiffusionPipeline` for this purpose. It is then possible to interpolate between audios in the latent "noise" space using the function `slerp` (Spherical Linear intERPolation).

 ---
+title: Audio Diffusion Style Transfer
 emoji: 🎵
 colorFrom: pink
+colorTo: purple
 sdk: gradio
 sdk_version: 3.1.4
 app_file: app.py
 ```bash
   --scheduler ddim
 ```
+forked from https://huggingface.co/spaces/teticio/audio-diffusion lets get the style transfer in the app and possibly in painting eventually
 Inference can the be run with far fewer steps than the number used for training (e.g., ~50), allowing for much faster generation. Without retraining, the parameter `eta` can be used to replicate a DDPM if it is set to 1 or a DDIM if it is set to 0, with all values in between being valid. When `eta` is 0 (the default value), the de-noising procedure is deterministic, which means that it can be run in reverse as a kind of encoder that recovers the original noise used in generation. A function `encode` has been added to `AudioDiffusionPipeline` for this purpose. It is then possible to interpolate between audios in the latent "noise" space using the function `slerp` (Spherical Linear intERPolation).