add AudioDiffusionPipeline and LatentAudioDiffusionPipeline #1334 (#1426

) * add AudioDiffusionPipeline and LatentAudioDiffusionPipeline * add docs to toc * fix tests * fix tests * fix tests * fix tests * fix tests * Update pr_tests.yml Fix tests * parent 499ff34 author teticio <[email protected]> 1668765652 +0000 committer teticio <[email protected]> 1669041721 +0000 parent 499ff34 author teticio <[email protected]> 1668765652 +0000 committer teticio <[email protected]> 1669041704 +0000 add colab notebook [Flax] Fix loading scheduler from subfolder (#1319) [FLAX] Fix loading scheduler from subfolder Fix/Enable all schedulers for in-painting (#1331) * inpaint fix k lms * onnox as well * up Correct path to schedlure (#1322) * [Examples] Correct path * uP Avoid nested fix-copies (#1332) * Avoid nested `# Copied from` statements during `make fix-copies` * style Fix img2img speed with LMS-Discrete Scheduler (#896) Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the `integrate.quad` call later on- by long I mean more than 10x slower. Co-authored-by: Anton Lozhkov <[email protected]> Fix the order of casts for onnx inpainting (#1338) Legacy Inpainting Pipeline for Onnx Models (#1237) * Add legacy inpainting pipeline compatibility for onnx * remove commented out line * Add onnx legacy inpainting test * Fix slow decorators * pep8 styling * isort styling * dummy object * ordering consistency * style * docstring styles * Refactor common prompt encoding pattern * Update tests to permanent repository home * support all available schedulers until ONNX IO binding is available Co-authored-by: Anton Lozhkov <[email protected]> * updated styling from PR suggested feedback Co-authored-by: Anton Lozhkov <[email protected]> Jax infer support negative prompt (#1337) * support negative prompts in sd jax pipeline * pass batched neg_prompt * only encode when negative prompt is None Co-authored-by: Juan Acevedo <[email protected]> Update README.md: Minor change to Imagic code snippet, missing dir error (#1347) Minor change to Imagic Readme Missing dir causes an error when running the example code. make style change the sample model (#1352) * Update alt_diffusion.mdx * Update alt_diffusion.mdx Add bit diffusion [WIP] (#971) * Create bit_diffusion.py Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG * adding bit diffusion to new branch ran tests * tests * tests * tests * tests * removed test folders + added to README * Update README.md Co-authored-by: Patrick von Platen <[email protected]> * move Mel to module in pipeline construction, make librosa optional * fix imports * fix copy & paste error in comment * fix style * add missing register_to_config * fix class docstrings * fix class docstrings * tweak docstrings * tweak docstrings * update slow test * put trailing commas back * respect alphabetical order * remove LatentAudioDiffusion, make vqvae optional * move Mel from models back to pipelines :-) * allow loading of pretrained audiodiffusion models * fix tests * fix dummies * remove reference to latent_audio_diffusion in docs * unused import * inherit from SchedulerMixin to make loadable * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Patrick von Platen <[email protected]>
huggingface · Dec 5, 2022 · 48d0123 · 48d0123
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diff --git a/.github/workflows/pr_tests.yml b/.github/workflows/pr_tests.yml
@@ -57,6 +57,7 @@ jobs:
 
     - name: Install dependencies
       run: |
+        apt-get update && apt-get install libsndfile1-dev -y
         python -m pip install -e .[quality,test]
         python -m pip install git+https://github.com/huggingface/accelerate
         python -m pip install -U git+https://github.com/huggingface/transformers

diff --git a/.gitignore b/.gitignore
@@ -165,4 +165,4 @@ tags
 # DS_Store (MacOS)
 .DS_Store
 # RL pipelines may produce mp4 outputs
-*.mp4
+*.mp4
diff --git a/docker/diffusers-flax-cpu/Dockerfile b/docker/diffusers-flax-cpu/Dockerfile
@@ -11,6 +11,7 @@ RUN apt update && \
                    git-lfs \
                    curl \
                    ca-certificates \
+                   libsndfile1-dev \
                    python3.8 \
                    python3-pip \
                    python3.8-venv && \
@@ -33,6 +34,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
         datasets \
         hf-doc-builder \
         huggingface-hub \
+        librosa \
         modelcards \
         numpy \
         scipy \

diff --git a/docker/diffusers-flax-tpu/Dockerfile b/docker/diffusers-flax-tpu/Dockerfile
@@ -11,6 +11,7 @@ RUN apt update && \
                    git-lfs \
                    curl \
                    ca-certificates \
+                   libsndfile1-dev \
                    python3.8 \
                    python3-pip \
                    python3.8-venv && \
@@ -35,6 +36,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
         datasets \
         hf-doc-builder \
         huggingface-hub \
+        librosa \        
         modelcards \
         numpy \
         scipy \

diff --git a/docker/diffusers-onnxruntime-cpu/Dockerfile b/docker/diffusers-onnxruntime-cpu/Dockerfile
@@ -11,6 +11,7 @@ RUN apt update && \
                    git-lfs \
                    curl \
                    ca-certificates \
+                   libsndfile1-dev \
                    python3.8 \
                    python3-pip \
                    python3.8-venv && \
@@ -33,6 +34,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
         datasets \
         hf-doc-builder \
         huggingface-hub \
+        librosa \
         modelcards \
         numpy \
         scipy \

diff --git a/docker/diffusers-onnxruntime-cuda/Dockerfile b/docker/diffusers-onnxruntime-cuda/Dockerfile
@@ -11,6 +11,7 @@ RUN apt update && \
                    git-lfs \
                    curl \
                    ca-certificates \
+                   libsndfile1-dev \
                    python3.8 \
                    python3-pip \
                    python3.8-venv && \
@@ -33,6 +34,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
         datasets \
         hf-doc-builder \
         huggingface-hub \
+        librosa \
         modelcards \
         numpy \
         scipy \

diff --git a/docker/diffusers-pytorch-cpu/Dockerfile b/docker/diffusers-pytorch-cpu/Dockerfile
@@ -11,6 +11,7 @@ RUN apt update && \
                    git-lfs \
                    curl \
                    ca-certificates \
+                   libsndfile1-dev \
                    python3.8 \
                    python3-pip \
                    python3.8-venv && \
@@ -32,6 +33,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
         datasets \
         hf-doc-builder \
         huggingface-hub \
+        librosa \
         modelcards \
         numpy \
         scipy \

diff --git a/docker/diffusers-pytorch-cuda/Dockerfile b/docker/diffusers-pytorch-cuda/Dockerfile
@@ -11,6 +11,7 @@ RUN apt update && \
                    git-lfs \
                    curl \
                    ca-certificates \
+                   libsndfile1-dev \
                    python3.8 \
                    python3-pip \
                    python3.8-venv && \
@@ -32,6 +33,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
         datasets \
         hf-doc-builder \
         huggingface-hub \
+        librosa \
         modelcards \
         numpy \
         scipy \

diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml
@@ -122,6 +122,8 @@
       title: "VQ Diffusion"
     - local: api/pipelines/repaint
       title: "RePaint"
+    - local: api/pipelines/audio_diffusion
+      title: "Audio Diffusion"
     title: "Pipelines"
   - sections:
     - local: api/experimental/rl

diff --git a/docs/source/api/pipelines/audio_diffusion.mdx b/docs/source/api/pipelines/audio_diffusion.mdx
@@ -0,0 +1,102 @@
+<!--Copyright 2022 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+-->
+
+# Audio Diffusion
+
+## Overview
+
+[Audio Diffusion](https://github.com/teticio/audio-diffusion) by Robert Dargavel Smith.
+
+Audio Diffusion leverages the recent advances in image generation using diffusion models by converting audio samples to
+and from mel spectrogram images.
+
+The original codebase of this implementation can be found [here](https://github.com/teticio/audio-diffusion), including
+training scripts and example notebooks.
+
+## Available Pipelines:
+
+| Pipeline | Tasks | Colab
+|---|---|:---:|
+| [pipeline_audio_diffusion.py](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/audio_diffusion/pipeline_audio_diffusion.py) | *Unconditional Audio Generation* | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/teticio/audio-diffusion/blob/master/notebooks/audio_diffusion_pipeline.ipynb) |
+
+
+## Examples:
+
+### Audio Diffusion
+
+```python
+import torch
+from IPython.display import Audio
+from diffusers import DiffusionPipeline
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained("teticio/audio-diffusion-256").to(device)
+
+output = pipe()
+display(output.images[0])
+display(Audio(output.audios[0], rate=mel.get_sample_rate()))
+```
+
+### Latent Audio Diffusion
+
+```python
+import torch
+from IPython.display import Audio
+from diffusers import DiffusionPipeline
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained("teticio/latent-audio-diffusion-256").to(device)
+
+output = pipe()
+display(output.images[0])
+display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
+```
+
+### Audio Diffusion with DDIM (faster)
+
+```python
+import torch
+from IPython.display import Audio
+from diffusers import DiffusionPipeline
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained("teticio/audio-diffusion-ddim-256").to(device)
+
+output = pipe()
+display(output.images[0])
+display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
+```
+
+### Variations, in-painting, out-painting etc.
+
+```python
+output = pipe(
+    raw_audio=output.audios[0, 0],
+    start_step=int(pipe.get_default_steps() / 2),
+    mask_start_secs=1,
+    mask_end_secs=1,
+)
+display(output.images[0])
+display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))
+```
+
+## AudioDiffusionPipeline
+[[autodoc]] AudioDiffusionPipeline
+    - __call__
+    - encode
+    - slerp
+
+
+## Mel
+[[autodoc]] Mel
+    - audio_slice_to_image
+    - image_to_audio
diff --git a/docs/source/api/pipelines/overview.mdx b/docs/source/api/pipelines/overview.mdx
@@ -45,6 +45,7 @@ available a colab notebook to directly try them out.
 | Pipeline | Paper | Tasks | Colab
 |---|---|:---:|:---:|
 | [alt_diffusion](./api/pipelines/alt_diffusion) | [**AltDiffusion**](https://arxiv.org/abs/2211.06679) | Image-to-Image Text-Guided Generation | -
+| [audio_diffusion](./api/pipelines/audio_diffusion) | [**Audio Diffusion**](https://github.com/teticio/audio_diffusion.git) | Unconditional Audio Generation |
 | [cycle_diffusion](./api/pipelines/cycle_diffusion) | [**Cycle Diffusion**](https://arxiv.org/abs/2210.05559) | Image-to-Image Text-Guided Generation |
 | [dance_diffusion](./api/pipelines/dance_diffusion) | [**Dance Diffusion**](https://github.com/williamberman/diffusers.git) | Unconditional Audio Generation |
 | [ddpm](./api/pipelines/ddpm) | [**Denoising Diffusion Probabilistic Models**](https://arxiv.org/abs/2006.11239) | Unconditional Image Generation |

diff --git a/docs/source/index.mdx b/docs/source/index.mdx
@@ -35,6 +35,7 @@ available a colab notebook to directly try them out.
 | Pipeline | Paper | Tasks | Colab
 |---|---|:---:|:---:|
 | [alt_diffusion](./api/pipelines/alt_diffusion) | [**AltDiffusion**](https://arxiv.org/abs/2211.06679) | Image-to-Image Text-Guided Generation |
+| [audio_diffusion](./api/pipelines/audio_diffusion) | [**Audio Diffusion**](https://github.com/teticio/audio-diffusion.git) | Unconditional Audio Generation | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/teticio/audio-diffusion/blob/master/notebooks/audio_diffusion_pipeline.ipynb)
 | [cycle_diffusion](./api/pipelines/cycle_diffusion) | [**Cycle Diffusion**](https://arxiv.org/abs/2210.05559) | Image-to-Image Text-Guided Generation |
 | [dance_diffusion](./api/pipelines/dance_diffusion) | [**Dance Diffusion**](https://github.com/williamberman/diffusers.git) | Unconditional Audio Generation |
 | [ddpm](./api/pipelines/ddpm) | [**Denoising Diffusion Probabilistic Models**](https://arxiv.org/abs/2006.11239) | Unconditional Image Generation |

diff --git a/docs/source/using-diffusers/audio.mdx b/docs/source/using-diffusers/audio.mdx
@@ -12,5 +12,5 @@ specific language governing permissions and limitations under the License.
 
 # Using Diffusers for audio
 
-The [`DanceDiffusionPipeline`] can be used to generate audio rapidly!
-More coming soon!
+[`DanceDiffusionPipeline`] and [`AudioDiffusionPipeline`] can be used to generate
+audio rapidly! More coming soon!
diff --git a/setup.py b/setup.py
@@ -91,6 +91,7 @@
     "isort>=5.5.4",
     "jax>=0.2.8,!=0.3.2",
     "jaxlib>=0.1.65",
+    "librosa",
     "modelcards>=0.1.4",
     "numpy",
     "parameterized",
@@ -181,6 +182,7 @@ def run(self):
 extras["training"] = deps_list("accelerate", "datasets", "tensorboard", "modelcards")
 extras["test"] = deps_list(
     "datasets",
+    "librosa",
     "parameterized",
     "pytest",
     "pytest-timeout",

diff --git a/src/diffusers/__init__.py b/src/diffusers/__init__.py
@@ -30,12 +30,14 @@
     )
     from .pipeline_utils import DiffusionPipeline
     from .pipelines import (
+        AudioDiffusionPipeline,
         DanceDiffusionPipeline,
         DDIMPipeline,
         DDPMPipeline,
         KarrasVePipeline,
         LDMPipeline,
         LDMSuperResolutionPipeline,
+        Mel,
         PNDMPipeline,
         RePaintPipeline,
         ScoreSdeVePipeline,

diff --git a/src/diffusers/dependency_versions_table.py b/src/diffusers/dependency_versions_table.py
@@ -15,6 +15,7 @@
     "isort": "isort>=5.5.4",
     "jax": "jax>=0.2.8,!=0.3.2",
     "jaxlib": "jaxlib>=0.1.65",
+    "librosa": "librosa",
     "modelcards": "modelcards>=0.1.4",
     "numpy": "numpy",
     "parameterized": "parameterized",

diff --git a/src/diffusers/pipelines/__init__.py b/src/diffusers/pipelines/__init__.py
@@ -1,4 +1,10 @@
-from ..utils import is_flax_available, is_onnx_available, is_torch_available, is_transformers_available
+from ..utils import (
+    is_flax_available,
+    is_librosa_available,
+    is_onnx_available,
+    is_torch_available,
+    is_transformers_available,
+)
 
 
 if is_torch_available():
@@ -14,6 +20,11 @@
 else:
     from ..utils.dummy_pt_objects import *  # noqa F403
 
+if is_torch_available() and is_librosa_available():
+    from .audio_diffusion import AudioDiffusionPipeline, Mel
+else:
+    from ..utils.dummy_torch_and_librosa_objects import AudioDiffusionPipeline, Mel  # noqa F403
+
 if is_torch_available() and is_transformers_available():
     from .alt_diffusion import AltDiffusionImg2ImgPipeline, AltDiffusionPipeline
     from .latent_diffusion import LDMTextToImagePipeline

diff --git a/src/diffusers/pipelines/audio_diffusion/__init__.py b/src/diffusers/pipelines/audio_diffusion/__init__.py
@@ -0,0 +1,3 @@
+# flake8: noqa
+from .mel import Mel
+from .pipeline_audio_diffusion import AudioDiffusionPipeline