[FIX] reconstruct files structure & update readme

README.md

@@ -33,26 +33,29 @@ This repository contains a **denoising diffusion probabilistic model (DDPM)** tr
 
 Here are some sample images generated by the model at different diffusion steps:
 
-![Step 50](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_50.png)
-![Step 100](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_100.png)
-![Step 150](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_150.png)
-![Step 200](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_200.png)
-![Step 250](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_250.png)
-![Step 300](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_300.png)
-![Step 350](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_350.png)
-![Step 400](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_400.png)
-![Step 450](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_450.png)
-![Step 500](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_500.png)
-![Step 550](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_550.png)
-![Step 600](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_600.png)
-![Step 650](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_650.png)
-![Step 700](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_700.png)
-![Step 750](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_750.png)
-![Step 800](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_800.png)
-![Step 850](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_850.png)
-![Step 900](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_900.png)
-![Step 950](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_950.png)
-![Step 1000](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/image_step_1000.png)
+### DDPM:
+![Step 750](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDPM/image_step_750.png)
+![Step 800](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDPM/image_step_800.png)
+![Step 850](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDPM/image_step_850.png)
+![Step 900](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDPM/image_step_900.png)
+![Step 950](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDPM/image_step_950.png)
+![Step 1000](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDPM/image_step_1000.png)
+
+### DDIM:
+![Step 750](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDIM/image_step_750.png)
+![Step 800](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDIM/image_step_800.png)
+![Step 850](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDIM/image_step_850.png)
+![Step 900](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDIM/image_step_900.png)
+![Step 950](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDIM/image_step_950.png)
+![Step 1000](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/DDIM/image_step_1000.png)
+
+### PNDM:
+![Step 750](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/PNDM/image_step_750.png)
+![Step 800](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/PNDM/image_step_800.png)
+![Step 850](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/PNDM/image_step_850.png)
+![Step 900](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/PNDM/image_step_900.png)
+![Step 950](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/PNDM/image_step_950.png)
+![Step 1000](https://huggingface.co/Mou11209203/ddpm-celebahq-256/resolve/main/images/PNDM/image_step_1000.png)
 
 
 ## How to Use
@@ -132,6 +135,24 @@ for i, t in enumerate(tqdm.tqdm(scheduler.timesteps)):
 print("Denoising complete.")
 ```
 
+## Scheduler
+
+**DDPM** models can use *discrete noise schedulers* such as:
+
+- [scheduling_ddpm](https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_ddpm.py)
+- [scheduling_ddim](https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_ddim.py)
+- [scheduling_pndm](https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_pndm.py)
+
+for inference. Note that while the *ddpm* scheduler yields the highest quality, it also takes the longest.
+For a good trade-off between quality and inference speed you might want to consider the *ddim* or *pndm* schedulers instead.
+
+See the following code:
+
+```python
+# !pip install diffusers
+from diffusers import DDPMPipeline, DDIMPipeline, PNDMPipeline
+```
+
 ## Training
 
 If you want to train your own model, please have a look at the [official training example](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/training_example.ipynb)
@@ -162,4 +183,4 @@ If you use this model in your research or project, please cite the original `goo
 
 ## License
 
-This model is provided under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+This model is provided under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).