diff --git a/ppdiffusers/examples/inference/image_guided_image_inpainting-paint_by_example.py b/ppdiffusers/examples/inference/image_guided_image_inpainting-paint_by_example.py
new file mode 100644
index 000000000000..1b4916086bf3
--- /dev/null
+++ b/ppdiffusers/examples/inference/image_guided_image_inpainting-paint_by_example.py
@@ -0,0 +1,33 @@
+# Copyright (c) 2022 PaddlePaddle Authors. 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.
+
+import paddle
+
+from ppdiffusers import DiffusionPipeline
+from ppdiffusers.utils import load_image
+
+img_url = "https://paddlenlp.bj.bcebos.com/models/community/Fantasy-Studio/data/image_example_1.png"
+mask_url = "https://paddlenlp.bj.bcebos.com/models/community/Fantasy-Studio/data/mask_example_1.png"
+example_url = "https://paddlenlp.bj.bcebos.com/models/community/Fantasy-Studio/data/reference_example_1.jpeg"
+
+init_image = load_image(img_url).resize((512, 512))
+mask_image = load_image(mask_url).resize((512, 512))
+example_image = load_image(example_url).resize((512, 512))
+
+pipe = DiffusionPipeline.from_pretrained("Fantasy-Studio/Paint-by-Example")
+
+# 使用fp16加快生成速度
+with paddle.amp.auto_cast(True):
+    image = pipe(image=init_image, mask_image=mask_image, example_image=example_image).images[0]
+image.save("paint_by_example_test.png")
diff --git a/ppdiffusers/examples/inference/unconditional_audio_generation-audio_diffusion.py b/ppdiffusers/examples/inference/unconditional_audio_generation-audio_diffusion.py
new file mode 100644
index 000000000000..28432657f573
--- /dev/null
+++ b/ppdiffusers/examples/inference/unconditional_audio_generation-audio_diffusion.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2022 PaddlePaddle Authors. 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.
+
+import paddle
+from scipy.io.wavfile import write
+
+from ppdiffusers import AudioDiffusionPipeline
+
+# 加载模型和scheduler
+pipe = AudioDiffusionPipeline.from_pretrained("teticio/audio-diffusion-ddim-256")
+pipe.set_progress_bar_config(disable=None)
+generator = paddle.Generator().manual_seed(42)
+
+output = pipe(generator=generator)
+audio = output.audios[0]
+image = output.images[0]
+
+# 保存音频到本地
+for i, audio in enumerate(audio):
+    write(f"audio_diffusion_test{i}.wav", pipe.mel.sample_rate, audio.transpose())
+
+# 保存图片
+image.save("audio_diffusion_test.png")
diff --git a/ppdiffusers/ppdiffusers/pipelines/README.md b/ppdiffusers/ppdiffusers/pipelines/README.md
index a89682200f84..cd152dfecaca 100644
--- a/ppdiffusers/ppdiffusers/pipelines/README.md
+++ b/ppdiffusers/ppdiffusers/pipelines/README.md
@@ -3,13 +3,13 @@
 Pipelines提供了一种对各种SOTA扩散模型进行各种下游任务推理的简单方式。
 大多数扩散模型系统由多个独立训练的模型和高度自适应的调度器(scheduler)组成，通过pipeline我们可以很方便的对这些扩散模型系统进行端到端的推理。
 
-举例来说， [Stable Diffusion](https://huggingface.co/blog/stable_diffusion)由以下组件构成:
+举例来说， Stable Diffusion由以下组件构成:
 - Autoencoder
 - Conditional Unet
 - CLIP text encoder
-- scheduler
+- Scheduler
 - CLIPFeatureExtractor
-- safety checker
+- Safety checker
 
 这些组件之间是独立训练或创建的，同时在Stable Diffusion的推理运行中也是必需的，我们可以通过pipelines来对整个系统进行封装，从而提供一个简洁的推理接口。
 
@@ -26,33 +26,36 @@ Pipelines提供了一种对各种SOTA扩散模型进行各种下游任务推理
 
 下表总结了所有支持的Pipelines，以及相应的论文、任务、推理脚本。
 
-| Pipeline                                                                                                                      | Source                                                                                                                       | Tasks | Inference
+| Pipeline                                                                                                                      | 源链接                                                                                                                       | 任务 | 推理
 |-------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|:---:|:---:|
 | [alt_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/alt_diffusion)                 | [**Alt Diffusion**](https://arxiv.org/abs/2211.06679)   | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-alt_diffusion.py)
 | [alt_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/alt_diffusion)                 | [**Alt Diffusion**](https://arxiv.org/abs/2211.06679)   | *Image-to-Image Text-Guided Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_to_image_text_guided_generation-alt_diffusion.py)
-| [repaint](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/repaint)                 | [**Repaint**](https://arxiv.org/abs/2201.09865)                                                      | *Image Inpainting* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_inpainting-repaint.py)
-| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Text-to-Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-stable_diffusion_2.py)
-| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)               | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Image-to-Image Text-Guided Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_to_image_text_guided_generation-stable_diffusion_2.py)
-| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                 | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Text-Guided Image Inpainting* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_guided_image_inpainting-stable_diffusion_2.py)
-| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                 | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Text-Guided Image Upscaling* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_guided_image_upscaling-stable_diffusion_2.py)
-| [stable_diffusion_safe](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion_safe)                 | [**Safe Stable Diffusion**](https://arxiv.org/abs/2211.05105)                                                      | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-stable_diffusion_safe.py)
-| [versatile_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/versatile_diffusion)                 | [**Versatile Diffusion**](https://arxiv.org/abs/2211.08332)                                                      | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-versatile_diffusion.py)
-| [versatile_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/versatile_diffusion)                 | [**Versatile Diffusion**](https://arxiv.org/abs/2211.08332)                                                      | *Image Variation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_variation-versatile_diffusion.py)
-| [versatile_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/versatile_diffusion)                 | [**Versatile Diffusion**](https://arxiv.org/abs/2211.08332)                                                      | *Dual Text and Image Guided Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/dual_text_and_image_guided_generation-versatile_diffusion.py)
-| [vq_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/vq_diffusion)                 | [**VQ Diffusion**](https://arxiv.org/abs/2111.14822)                                                      | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-vq_diffusion.py)
+| [audio_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/audio_diffusion)                 | [**Audio Diffusion**](https://github.com/teticio/audio-diffusion)   | *Unconditional Audio Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_audio_generation-audio_diffusion.py)
 | [dance_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/dance_diffusion)                 | [**Dance Diffusion**](https://github.com/Harmonai-org/sample-generator)                                                      | *Unconditional Audio Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_audio_generation-dance_diffusion.py)
 | [ddpm](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/ddpm)                                       | [**Denoising Diffusion Probabilistic Models**](https://arxiv.org/abs/2006.11239)                                             | *Unconditional Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-ddpm.py)
 | [ddim](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/ddim)                                       | [**Denoising Diffusion Implicit Models**](https://arxiv.org/abs/2010.02502)                                                  | *Unconditional Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-ddim.py)
 | [latent_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/latent_diffusion)               | [**High-Resolution Image Synthesis with Latent Diffusion Models**](https://arxiv.org/abs/2112.10752)                         | *Text-to-Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-latent_diffusion.py)
 | [latent_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/latent_diffusion)               | [**High-Resolution Image Synthesis with Latent Diffusion Models**](https://arxiv.org/abs/2112.10752)                         | *Super Superresolution* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/super_resolution-latent_diffusion.py)
 | [latent_diffusion_uncond](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/latent_diffusion_uncond) | [**High-Resolution Image Synthesis with Latent Diffusion Models**](https://arxiv.org/abs/2112.10752)                         | *Unconditional Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-latent_diffusion_uncond.py)
+| [paint_by_example](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/paint_by_example)                                       | [**Paint by Example: Exemplar-based Image Editing with Diffusion Models**](https://arxiv.org/abs/2211.13227)                           | *Image-Guided Image Inpainting* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_guided_image_inpainting-paint_by_example.py)
 | [pndm](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/pndm)                                       | [**Pseudo Numerical Methods for Diffusion Models on Manifolds**](https://arxiv.org/abs/2202.09778)                           | *Unconditional Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-pndm.py)
+| [repaint](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/repaint)                 | [**Repaint**](https://arxiv.org/abs/2201.09865)                                                      | *Image Inpainting* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_inpainting-repaint.py)
 | [score_sde_ve](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/score_sde_ve)                       | [**Score-Based Generative Modeling through Stochastic Differential Equations**](https://openreview.net/forum?id=PxTIG12RRHS) | *Unconditional Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-score_sde_ve.py)
 | [score_sde_vp](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/score_sde_vp)                       | [**Score-Based Generative Modeling through Stochastic Differential Equations**](https://openreview.net/forum?id=PxTIG12RRHS) | *Unconditional Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-score_sde_vp.py)
 | [stable_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                | [**Stable Diffusion**](https://stability.ai/blog/stable-diffusion-public-release)                                            | *Text-to-Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-stable_diffusion.py)
 | [stable_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)               | [**Stable Diffusion**](https://stability.ai/blog/stable-diffusion-public-release)                                            | *Image-to-Image Text-Guided Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_to_image_text_guided_generation-stable_diffusion.py)
 | [stable_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                 | [**Stable Diffusion**](https://stability.ai/blog/stable-diffusion-public-release)                                            | *Text-Guided Image Inpainting* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_guided_image_inpainting-stable_diffusion.py)
+| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Text-to-Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-stable_diffusion_2.py)
+| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)               | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Image-to-Image Text-Guided Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_to_image_text_guided_generation-stable_diffusion_2.py)
+| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                 | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Text-Guided Image Inpainting* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_guided_image_inpainting-stable_diffusion_2.py)
+| [stable_diffusion_2](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion)                 | [**Stable Diffusion 2**](https://stability.ai/blog/stable-diffusion-v2-release)                                            | *Text-Guided Image Upscaling* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_guided_image_upscaling-stable_diffusion_2.py)
+| [stable_diffusion_safe](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stable_diffusion_safe)                 | [**Safe Stable Diffusion**](https://arxiv.org/abs/2211.05105)                                                      | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-stable_diffusion_safe.py)
 | [stochastic_karras_ve](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/stochastic_karras_ve)       | [**Elucidating the Design Space of Diffusion-Based Generative Models**](https://arxiv.org/abs/2206.00364)                    | *Unconditional Image Generation* | [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/unconditional_image_generation-stochastic_karras_ve.py)
+| [versatile_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/versatile_diffusion)                 | [**Versatile Diffusion**](https://arxiv.org/abs/2211.08332)                                                      | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-versatile_diffusion.py)
+| [versatile_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/versatile_diffusion)                 | [**Versatile Diffusion**](https://arxiv.org/abs/2211.08332)                                                      | *Image Variation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/image_variation-versatile_diffusion.py)
+| [versatile_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/versatile_diffusion)                 | [**Versatile Diffusion**](https://arxiv.org/abs/2211.08332)                                                      | *Dual Text and Image Guided Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/dual_text_and_image_guided_generation-versatile_diffusion.py)
+| [vq_diffusion](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/ppdiffusers/pipelines/vq_diffusion)                 | [**VQ Diffusion**](https://arxiv.org/abs/2111.14822)                                                      | *Text-to-Image Generation* |  [link](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/inference/text_to_image_generation-vq_diffusion.py)
+
 
 **【注意】** Pipelines可以端到端的展示相应论文中描述的扩散模型系统。然而，大多数Pipelines可以使用不同的调度器组件，甚至不同的模型组件。
 
@@ -68,3 +71,308 @@ Pipelines提供了一种对各种SOTA扩散模型进行各种下游任务推理
 - `save_pretrained` 该方法接受一个本地目录路径，Pipelines的所有模型或组件都将被保存到该目录下。对于每个模型或组件，都会在给定目录下创建一个子文件夹。同时`model_index.json`文件将会创建在本地目录路径的根目录下，以便可以再次从本地路径实例化整个Pipelines。
 
 - `__call__` Pipelines在推理时将调用该方法。该方法定义了Pipelines的推理逻辑，它应该包括预处理、张量在不同模型之间的前向传播、后处理等整个推理流程。
+
+
+## 任务展示
+### 文图多模态
+<details><summary>&emsp;文图生成（Text-to-Image Generation）</summary>
+
+- stable_diffusion
+
+```python
+from ppdiffusers import StableDiffusionPipeline
+
+# 加载模型和scheduler
+pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+
+# 执行pipeline进行推理
+prompt = "a photo of an astronaut riding a horse on mars"
+image = pipe(prompt).images[0]
+
+# 保存图片
+image.save("astronaut_rides_horse_sd.png")
+```
+<div align="center">
+<img width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209322401-6ecfeaaa-6878-4302-b592-07a31de4e590.png">
+</div>
+
+</details>
+
+<details><summary>&emsp;文本引导的图像放大（Text-Guided Image Upscaling）</summary>
+
+- stable_diffusion_2
+
+```python
+from ppdiffusers import StableDiffusionUpscalePipeline
+from ppdiffusers.utils import load_image
+
+pipe = StableDiffusionUpscalePipeline.from_pretrained("stabilityai/stable-diffusion-x4-upscaler")
+
+url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/data/low_res_cat.png"
+low_res_img = load_image(url).resize((128, 128))
+
+prompt = "a white cat"
+upscaled_image = pipe(prompt=prompt, image=low_res_img).images[0]
+upscaled_image.save("upsampled_cat_sd2.png")
+```
+<div align="center">
+<img alt="image" src="https://user-images.githubusercontent.com/20476674/209324085-0d058b70-89b0-43c2-affe-534eedf116cf.png">
+<center>原图像</center>
+<img alt="image" src="https://user-images.githubusercontent.com/20476674/209323862-ce2d8658-a52b-4f35-90cb-aa7d310022e7.png">
+<center>生成图像</center>
+</div>
+</details>
+
+<details><summary>&emsp;文本引导的图像编辑（Text-Guided Image Inpainting）</summary>
+
+- stable_diffusion_2
+
+```python
+from ppdiffusers import StableDiffusionUpscalePipeline
+from ppdiffusers.utils import load_image
+
+pipe = StableDiffusionUpscalePipeline.from_pretrained("stabilityai/stable-diffusion-x4-upscaler")
+
+url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/data/low_res_cat.png"
+low_res_img = load_image(url).resize((128, 128))
+
+prompt = "a white cat"
+upscaled_image = pipe(prompt=prompt, image=low_res_img).images[0]
+upscaled_image.save("upsampled_cat_sd2.png")
+```
+<div align="center">
+<img alt="image" src="https://user-images.githubusercontent.com/20476674/209324085-0d058b70-89b0-43c2-affe-534eedf116cf.png">
+<center>原图像</center>
+<img alt="image" src="https://user-images.githubusercontent.com/20476674/209323862-ce2d8658-a52b-4f35-90cb-aa7d310022e7.png">
+<center>生成图像</center>
+</div>
+</details>
+
+
+<details><summary>&emsp;文本指导的图像变换（Image-to-Image Text-Guided Generation）</summary>
+
+- stable_diffusion
+```python
+import paddle
+
+from ppdiffusers import StableDiffusionImg2ImgPipeline
+from ppdiffusers.utils import load_image
+
+# 加载pipeline
+pipe = StableDiffusionImg2ImgPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+
+# 下载初始图片
+url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/stable-diffusion-v1-4/sketch-mountains-input.png"
+
+init_image = load_image(url).resize((768, 512))
+
+prompt = "A fantasy landscape, trending on artstation"
+# 使用fp16加快生成速度
+with paddle.amp.auto_cast(True):
+    image = pipe(prompt=prompt, image=init_image, strength=0.75, guidance_scale=7.5).images[0]
+
+image.save("fantasy_landscape.png")
+```
+<div align="center">
+<img width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209327142-d8e1d0c7-3bf8-4a08-a0e8-b11451fc84d8.png">
+<center>原图像</center>
+<img width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209325799-d9ff279b-0d57-435f-bda7-763e3323be23.png">
+<center>生成图像</center>
+</div>
+</details>
+</details>
+
+<details><summary>&emsp;文本图像双引导图像生成（Dual Text and Image Guided Generation）</summary>
+
+- versatile_diffusion
+```python
+from ppdiffusers import VersatileDiffusionDualGuidedPipeline
+from ppdiffusers.utils import load_image
+
+url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/data/benz.jpg"
+image = load_image(url)
+text = "a red car in the sun"
+
+pipe = VersatileDiffusionDualGuidedPipeline.from_pretrained("shi-labs/versatile-diffusion")
+pipe.remove_unused_weights()
+
+text_to_image_strength = 0.75
+image = pipe(prompt=text, image=image, text_to_image_strength=text_to_image_strength).images[0]
+image.save("versatile-diffusion-red_car.png")
+```
+<div align="center">
+<img width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209325965-2475e9c4-a524-4970-8498-dfe10ff9cf24.jpg" >
+<center>原图像</center>
+<img width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209325293-049098d0-d591-4abc-b151-9291ac2636da.png">
+<center>生成图像</center>
+</div>
+</details>
+
+### 图像
+
+<details><summary>&emsp;无条件图像生成（Unconditional Image Generation）</summary>
+
+- latent_diffusion_uncond
+
+```python
+from ppdiffusers import LDMPipeline
+
+# 加载模型和scheduler
+pipe = LDMPipeline.from_pretrained("CompVis/ldm-celebahq-256")
+
+# 执行pipeline进行推理
+image = pipe(num_inference_steps=200).images[0]
+
+# 保存图片
+image.save("ldm_generated_image.png")
+```
+<div align="center">
+<img width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209327936-7fe914e0-0ea0-4e21-a433-24eaed6ee94c.png">
+</div>
+</details>
+
+<details><summary>&emsp;超分（Super Superresolution）</summary>
+
+- latent_diffusion
+```python
+import paddle
+
+from ppdiffusers import LDMSuperResolutionPipeline
+from ppdiffusers.utils import load_image
+
+# 加载pipeline
+pipe = LDMSuperResolutionPipeline.from_pretrained("CompVis/ldm-super-resolution-4x-openimages")
+
+# 下载初始图片
+url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/stable-diffusion-v1-4/overture-creations.png"
+
+init_image = load_image(url).resize((128, 128))
+init_image.save("original-image.png")
+
+# 使用fp16加快生成速度
+with paddle.amp.auto_cast(True):
+    image = pipe(init_image, num_inference_steps=100, eta=1).images[0]
+
+image.save("super-resolution-image.png")
+```
+<div align="center">
+<img  alt="image" src="https://user-images.githubusercontent.com/20476674/209328660-9700fdc3-72b3-43bd-9a00-23b370ba030b.png">
+<center>原图像</center>
+<img  alt="image" src="https://user-images.githubusercontent.com/20476674/209328479-4eaea5d8-aa4a-4f31-aa2a-b47e3c730f15.png">
+<center>生成图像</center>
+</div>
+</details>
+
+
+<details><summary>&emsp;图像编辑（Image Inpainting）</summary>
+
+- repaint
+```python
+from ppdiffusers import RePaintPipeline, RePaintScheduler
+from ppdiffusers.utils import load_image
+
+img_url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/data/celeba_hq_256.png"
+mask_url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/data/mask_256.png"
+
+# Load the original image and the mask as PIL images
+original_image = load_image(img_url).resize((256, 256))
+mask_image = load_image(mask_url).resize((256, 256))
+
+scheduler = RePaintScheduler.from_pretrained("google/ddpm-ema-celebahq-256", subfolder="scheduler")
+pipe = RePaintPipeline.from_pretrained("google/ddpm-ema-celebahq-256", scheduler=scheduler)
+
+output = pipe(
+    original_image=original_image,
+    mask_image=mask_image,
+    num_inference_steps=250,
+    eta=0.0,
+    jump_length=10,
+    jump_n_sample=10,
+)
+inpainted_image = output.images[0]
+
+inpainted_image.save("repaint-image.png")
+```
+<div align="center">
+<img  alt="image" src="https://user-images.githubusercontent.com/20476674/209329052-b6fc2aaf-1a59-49a3-92ef-60180fdffd81.png">
+<center>原图像</center>
+<img  alt="image" src="https://user-images.githubusercontent.com/20476674/209329048-4fe12176-32a0-4800-98f2-49bd8d593799.png">
+<center>mask图像</center>
+<img  alt="image" src="https://user-images.githubusercontent.com/20476674/209329241-b7e4d99e-468a-4b95-8829-d77ee14bfe98.png">
+<center>生成图像</center>
+</div>
+</details>
+
+
+
+<details><summary>&emsp;图像变化（Image Variation）</summary>
+
+- versatile_diffusion
+```
+from ppdiffusers import VersatileDiffusionImageVariationPipeline
+from ppdiffusers.utils import load_image
+
+url = "https://paddlenlp.bj.bcebos.com/models/community/CompVis/data/benz.jpg"
+image = load_image(url)
+
+pipe = VersatileDiffusionImageVariationPipeline.from_pretrained("shi-labs/versatile-diffusion")
+
+image = pipe(image).images[0]
+image.save("versatile-diffusion-car_variation.png")
+```
+<div align="center">
+<img  width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209331434-51f6cdbd-b8e4-4faa-8e49-1cc852e35603.jpg">
+<center>原图像</center>
+<img  width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209331591-f6cc4cd8-8430-4627-8d22-bf404fb2bfdd.png">
+<center>生成图像</center>
+</div>
+</details>
+
+
+
+
+
+### 音频
+
+<details><summary>&emsp;无条件音频生成（Unconditional Audio Generation）</summary>
+
+- audio_diffusion
+
+```
+from scipy.io.wavfile import write
+from ppdiffusers import AudioDiffusionPipeline
+import paddle
+
+# 加载模型和scheduler
+pipe = AudioDiffusionPipeline.from_pretrained("teticio/audio-diffusion-ddim-256")
+pipe.set_progress_bar_config(disable=None)
+generator = paddle.Generator().manual_seed(42)
+
+output = pipe(generator=generator)
+audio = output.audios[0]
+image = output.images[0]
+
+# 保存音频到本地
+for i, audio in enumerate(audio):
+    write(f"audio_diffusion_test{i}.wav", pipe.mel.sample_rate, audio.transpose())
+
+# 保存图片
+image.save("audio_diffusion_test.png")
+```
+<div align = "center">
+  <thead>
+  </thead>
+  <tbody>
+   <tr>
+      <td align = "center">
+      <a href="https://paddlenlp.bj.bcebos.com/models/community/teticio/data/audio_diffusion_test0.wav" rel="nofollow">
+            <img align="center" src="https://user-images.githubusercontent.com/20476674/209344877-edbf1c24-f08d-4e3b-88a4-a27e1fd0a858.png" width="200 style="max-width: 100%;"></a><br>
+      </td>
+    </tr>
+  </tbody>
+</div>
+
+<div align="center">
+<img  width="300" alt="image" src="https://user-images.githubusercontent.com/20476674/209342125-93e8715e-895b-4115-9e1e-e65c6c2cd95a.png">
+</div>
+</details>