🎉 修改环境描述

.gitignore

@@ -237,3 +237,32 @@ notebook/pandas20/data/task11/
 /notebook/diffusion_models_learning51/my_homework/data/mnist/MNIST/raw/train-images-idx3-ubyte.gz
 /notebook/diffusion_models_learning51/my_homework/data/mnist/MNIST/raw/train-labels-idx1-ubyte
 /notebook/diffusion_models_learning51/my_homework/data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz
+/notebook/diffusion_models_learning51/assets/unit1/01_introduction_to_diffusers.ipynb
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+/notebook/diffusion_models_learning51/assets/unit1/README.md
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+/notebook/diffusion_models_learning51/assets/unit2/01_finetuning_and_guidance.ipynb
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+/notebook/diffusion_models_learning51/assets/unit2/02_class_conditioned_diffusion_model_example.ipynb
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+/notebook/diffusion_models_learning51/assets/unit2/finetune_model.py
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+/notebook/diffusion_models_learning51/assets/unit2/README.md
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+/notebook/diffusion_models_learning51/assets/unit4/01_ddim_inversion.ipynb
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README.md

@@ -56,7 +56,7 @@ requirements.txt---------------------------运行环境依赖包
 
 ## 环境安装
 ### Python版本
-Python 3.8 Windows环境
+Python 3.10 Windows环境
 
 ### 运行环境配置
 安装相关的依赖包
@@ -81,7 +81,7 @@ jupyter notebook
 ### pytorch安装
 执行以下命令安装pytorch
 ```shell
-pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
 ```
 
 ### pytorch geometric安装

docs/README.md

@@ -174,7 +174,7 @@
 
 ## 环境安装
 ### Python版本
-Mini-Conda Python 3.8 Windows环境
+Python 3.10 Windows环境
 
 ### Notebook运行环境配置
 安装相关的依赖包
@@ -199,7 +199,7 @@ jupyter notebook
 ### pytorch安装
 执行以下命令安装pytorch
 ```shell
-pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
 ```
 
 ### pytorch geometric安装

docs/diffusion_models_learning51/contents.md

@@ -1,6 +1,5 @@
 # 第51期《扩散模型从原理到实战》学习笔记
 
-
 ## Task01 扩散模型库入门与零基础实战
 
 本次任务，主要了解了扩散模型的基本原理（前向过程、反向过程、优化目标），并学习了Hugging Face核心功能的使用，根据教程从零搭建了扩散模型，并将BasicUNet和UNet2Model两个模型预测结果进行对比。
@@ -10,7 +9,6 @@
 - [第2章 Hugging Face简介](diffusion_models_learning51/ch02.md)
 - [第3章 从零开始搭建扩散模型](diffusion_models_learning51/ch03/ch03.md)
 
-
 ## Task02 微调与引导
 
 个人笔记如下：