update

README.md

@@ -31,16 +31,18 @@ The first open source Chinese Stable diffusion, which was trained on 20M filtere
 We use [Noah-Wukong](https://wukong-dataset.github.io/wukong-dataset/)(100M) 和 [Zero](https://zero.so.com/)(23M) as our dataset, and take the image and text pairs with CLIP Score (based on [IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese](https://huggingface.co/IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese)) greater than 0.2 as our Training set. We use [IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese](https://huggingface.co/IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese) as our init text encoder. To keep the powerful generative capability of stable diffusion and align Chinese concepts with the images, We only train the text encoder and freeze other part of the model.
 
 ### Result
-飞流直下三千尺，素描。
-![](result_examples/feiliu1.png)
 
 飞流直下三千尺，摄影。
-![](result_examples/feiliu2.png)
+![](result_examples/feiliu1.png)
 
 飞流直下三千尺，油画。
-![](result_examples/feiliu3.png)
+![](result_examples/feiliu2.png)
 
+铁马冰河入梦来，概念画
+![](result_examples/feiliu1.png)
 
+铁马冰河入梦来，3D绘画。
+![](result_examples/feiliu2.png)
 ## 使用 Usage
 ```
 from diffusers import StableDiffusionPipeline