Update README.md

README.md

@@ -35,37 +35,64 @@ MTCNN produces less jitter.
 ### **Model types**:
 
 - **H64 (2GB+)** - half face with 64 resolution. It is as original FakeApp or FaceSwap, but with new TensorFlow 1.8 DSSIM Loss func and separated mask decoder + better ConverterMasked. for 2GB and 3GB VRAM model works in reduced mode.
-* H64 Robert Downey Jr.:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H64_Downey_0.jpg)
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H64_Downey_1.jpg)
+
+H64 Robert Downey Jr.:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H64_Downey_0.jpg)
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H64_Downey_1.jpg)
 
 - **H128 (3GB+)** - as H64, but in 128 resolution. Better face details. for 3GB and 4GB VRAM model works in reduced mode.
-* H128 Cage:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H128_Cage_0.jpg)
-* H128 asian face on blurry target:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H128_Asian_0.jpg)
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H128_Asian_1.jpg)
+
+H128 Cage:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H128_Cage_0.jpg)
+
+H128 asian face on blurry target:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H128_Asian_0.jpg)
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/H128_Asian_1.jpg)
+
 - **DF (5GB+)** - @dfaker model. As H128, but fullface model.
-* DF example - later
+
+DF example - later
 
 - **LIAEF128 (5GB+)** - new model. Result of combining DF, IAE, + experiments. Model tries to morph src face to dst, while keeping facial features of src face, but less agressive morphing. Model has problems with closed eyes recognizing.
-* LIAEF128 Cage:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/LIAEF128_Cage_0.jpg)
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/LIAEF128_Cage_1.jpg)
-* LIAEF128 Cage video:
-* [![Watch the video](https://img.youtube.com/vi/mRsexePEVco/0.jpg)](https://www.youtube.com/watch?v=mRsexePEVco)
+
+LIAEF128 Cage:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/LIAEF128_Cage_0.jpg)
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/LIAEF128_Cage_1.jpg)
+
+LIAEF128 Cage video:
+
+[![Watch the video](https://img.youtube.com/vi/mRsexePEVco/0.jpg)](https://www.youtube.com/watch?v=mRsexePEVco)
+
 - **LIAEF128YAW (5GB+)** - currently testing. Useful when your src faceset has too many side faces vs dst faceset. It feeds NN by sorted samples by yaw.
+
 - **MIAEF128 (5GB+)** - as LIAEF128, but also it tries to match brightness/color features.
-* MIAEF128 model diagramm:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_diagramm.png)
-* MIAEF128 Ford success case:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_Ford_0.jpg)
-* MIAEF128 Cage fail case:
-* ![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_Cage_fail.jpg)
+
+MIAEF128 model diagramm:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_diagramm.png)
+
+MIAEF128 Ford success case:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_Ford_0.jpg)
+
+MIAEF128 Cage fail case:
+
+![](https://github.com/iperov/DeepFaceLab/blob/master/doc/MIAEF128_Cage_fail.jpg)
+
 - **AVATAR (4GB+)** - 256pix face controlling model. Usage:
-* src - controllable face (Cage)
-* dst - controller face (your face)
-* converter --input-dir must contains *extracted dst faces* in sequence to be converted, its mean you can train on 1500 dst faces, but use only 100 for convert.
+
+src - controllable face (Cage)
+
+dst - controller face (your face)
+
+converter --input-dir must contains *extracted dst faces* in sequence to be converted, its mean you can train on 1500 dst faces, but use only 100 for convert.
 
 ### **Sort tool**:
 
@@ -116,4 +143,4 @@ Windows 7,8,8.1,10 zero dependency (except GeForce Drivers) prebuilt Python 3.6.
 ### **Pull requesting**:
 
 I understand some people want to help. But result of mass people contribution we can see in deepfakes\faceswap.
-High chance I will decline PR. Therefore before PR better ask me what you want to change or add to save your time.
+High chance I will decline PR. Therefore before PR better ask me what you want to change or add to save your time.