update

README.md

@@ -65,14 +65,14 @@ Download the dataset from [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ).
 The training script is slightly different from the original version, e.g., we replace the patch discriminator with the projected discriminator, which saves a lot of hardware overhead and achieves slightly better results.
 In order to ensure normal training, the batch size must be greater than 1.
 
-- Train 256 models 
+- Train 224 models with VGGFace2 224*224 [VGGFace2-224](https://github.com/NNNNAI/VGGFace2-HQ)
 ```
-python train.py --name simswap256_test  --gpu_ids 0 --dataset /path/to/VGGFace2HQ --train_simswap True --Gdeep False
+python train.py --name simswap224_test --batchSize 4  --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep False
 ```
 
-- Train 512 models 
+- Train 512 models with VGGFace2-HQ 512*512 [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ).
 ```
-python train.py --name simswap512_test  --gpu_ids 0 --dataset /path/to/VGGFace2HQ --train_simswap False --Gdeep True
+python train.py --name simswap512_test  --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep True
 ```
 
 
@@ -86,7 +86,7 @@ python train.py --name simswap512_test  --gpu_ids 0 --dataset /path/to/VGGFace2H
 
 <div style="background: yellow; width:140px; font-weight:bold;font-family: sans-serif;">Stronger feature</div>
 
-[Colab fo switching specific faces in multi-face videos](https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/MultiSpecific.ipynb) 
+[Colab for switching specific faces in multi-face videos](https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/MultiSpecific.ipynb) 
 
 [Image face swapping demo & Docker image on Replicate](https://replicate.ai/neuralchen/simswap-image)