fix: examples/diffusers readme

Author: fzilan

examples/diffusers/cogvideox_factory/README.md

@@ -60,16 +60,16 @@ huggingface-cli download   --repo-type dataset Wild-Heart/Disney-VideoGeneration
 
 ```
 # 对 CogVideoX 模型进行文本到视频的 LoRA 微调
-./train_text_to_video_lora.sh
+./scripts/train_text_to_video_lora.sh
 
 # 对 CogVideoX 模型进行文本到视频的完整微调
-./train_text_to_video_sft.sh
+./scripts/train_text_to_video_sft.sh
 
 # 对 CogVideoX 模型进行图像到视频的 LoRA 微调
-./train_image_to_video_lora.sh
+./scripts/train_image_to_video_lora.sh
 
 # 对 CogVideoX 模型进行图像到视频的完整微调
-./train_image_to_video_sft.sh
+./scripts/train_image_to_video_sft.sh
 ```
 
 假设您的 LoRA 已保存到本地，并且路径为 `/path/to/my-awesome-lora`，现在我们可以使用微调模型进行推理：

examples/diffusers/unconditional_image_generation/README.md

@@ -33,8 +33,6 @@ python train_unconditional.py \
 ```
 An example trained model: https://huggingface.co/anton-l/ddpm-ema-flowers-64
 
-A full training run takes 2 hours on 4xV100 GPUs.
-
 <img src="https://user-images.githubusercontent.com/26864830/180248660-a0b143d0-b89a-42c5-8656-2ebf6ece7e52.png" width="700" />
 
 ### Unconditional Pokemon