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第一版翻译完成，保留了getStart目录，有一些名词还是需要重新检查

docs/source_en/tutorial/ASimpleExample.md

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+# Quick Start
+
+In this document, we introduce how to quickly get started with DiffSynth-Studio for creation through a piece of code.
+
+## Installation
+
+Use the following command to clone and install DiffSynth-Studio from GitHub. For more information, please refer to [Installation](./Installation.md).
+
+```shell
+git clone https://github.com/modelscope/DiffSynth-Studio.git
+cd DiffSynth-Studio
+pip install -e .
+```
+
+## One-click Run!
+
+By running the following code, we will download the model, load the model, and generate an image.
+
+```python
+import torch
+from diffsynth import ModelManager, FluxImagePipeline
+
+model_manager = ModelManager(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_id_list=["FLUX.1-dev"]
+)
+pipe = FluxImagePipeline.from_model_manager(model_manager)
+
+torch.manual_seed(0)
+image = pipe(
+    prompt="In a forest, a wooden plank sign reading DiffSynth",
+    height=576, width=1024,
+)
+image.save("image.jpg")
+```
+
+![image](https://github.com/user-attachments/assets/15a52a2b-2f18-46fe-810c-cb3ad2853919)
+
+From this example, we can see that there are two key modules in DiffSynth: `ModelManager` and `Pipeline`. We will introduce them in detail next.
+
+## Downloading and Loading Models
+
+`ModelManager` is responsible for downloading and loading models, which can be done in one step with the following code.
+
+```python
+import torch
+from diffsynth import ModelManager
+
+model_manager = ModelManager(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_id_list=["FLUX.1-dev"]
+)
+```
+
+Of course, we also support completing this step by step, and the following code is equivalent to the above.
+
+```python
+import torch
+from diffsynth import download_models, ModelManager
+
+download_models(["FLUX.1-dev"])
+model_manager = ModelManager(torch_dtype=torch.bfloat16, device="cuda")
+model_manager.load_models([
+    "models/FLUX/FLUX.1-dev/text_encoder/model.safetensors",
+    "models/FLUX/FLUX.1-dev/text_encoder_2",
+    "models/FLUX/FLUX.1-dev/ae.safetensors",
+    "models/FLUX/FLUX.1-dev/flux1-dev.safetensors"
+])
+```
+
+When downloading models, we support downloading from [ModelScope](https://www.modelscope.cn/) and [HuggingFace](https://huggingface.co/), and we also support downloading non-preset models. For more information about model downloading, please refer to [Model Download](./DownloadModels.md).
+
+When loading models, you can put all the model paths you want to load into it. For model weight files in formats such as `.safetensors`, `ModelManager` will automatically determine the model type after loading; for folder format models, `ModelManager` will try to parse the `config.json` file within and try to call the corresponding module in third-party libraries such as `transformers`. For models supported by DiffSynth-Studio, please refer to [Supported Models](./Models.md).
+
+## Building Pipeline
+
+DiffSynth-Studio provides multiple inference `Pipeline`s, which can be directly obtained through `ModelManager` to get the required models and initialize. For example, the text-to-image `Pipeline` for the FLUX.1-dev model can be constructed as follows:
+
+```python
+pipe = FluxImagePipeline.from_model_manager(model_manager)
+```
+
+For more `Pipeline`s used for image generation and video generation, see [Inference Pipelines](./Pipelines.md).