Update README.md

README.md

@@ -28,11 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 Here are some example images.
 
-```
-prompt: cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open holding a fancy black forest cake with candles on top in the kitchen of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere
-```
-![input-control)](./images/example-control.jpg)
-![output)](./images/example-output.jpg)
+prompt: cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open holding a fancy black forest cake with candles on top in the kitchen of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere 
+| input-control | result image | 
+| - |- |
+| ![input-control)](./images/example-control.jpg) | ![output)](./images/example-output.jpg) | 
 
 
 
@@ -78,4 +77,4 @@ An [example comfyui workflow](./example_workflow.json)is also provided.
 
 ## Training details
 
-This controlnet is trained on one A100-80G GPU, with carefully selected proprietary real-world images dataset, with imagesize 512 + batchsize 3 (earlier period), and imagesize 1024 + batchsize 1 (after 512 training). With above configs, the GPU memory was about 70G and takes around 3 days to get this 14000steps-checkpoint. Training progress is going on, more ckpts will be released.
+This controlnet is trained on one A100-80G GPU, with carefully selected proprietary real-world images dataset, with imagesize 512 + batchsize 3 (earlier period), and imagesize 1024 + batchsize 1 (after 512 training). With above configs, the GPU memory was about 70G and takes around 3 days to get this 14000steps-checkpoint.