Add DeepFaceLab submodule

* Update 6_train_Quick96.sh

Fix "no training data provided"

* Update 6_train_SAEHD.sh

fix "no training data provided"

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "DeepFaceLab"]
+	path = DeepFaceLab
+	url = https://github.com/iperov/DeepFaceLab.git

README.md

@@ -17,12 +17,24 @@ Check latest cudnn and cudatoolkit version for your GPU device.
 ```bash
  conda create -n deepfacelab -c main python=3.7 cudnn=7.6.5 cudatoolkit=10.1.243
  conda activate deepfacelab
- git clone https://github.com/nagadit/DeepFaceLab_Linux.git
+ git clone --depth 1 https://github.com/nagadit/DeepFaceLab_Linux.git
  cd DeepFaceLab_Linux
- git clone https://github.com/iperov/DeepFaceLab.git
+ git clone --depth 1 https://github.com/iperov/DeepFaceLab.git
  python -m pip install -r ./DeepFaceLab/requirements-cuda.txt
 ```
 
+you can confirm your gpu is working correctly by running the following code and seeing what messages pop up:
+
+```bash
+python -c "import tensorflow as tf;print(tf.__version__)"
+```
+
+If the scripts can't seem to access the GPU and you're having issues with cuda version mismatches when running `nvidia-smi`, they can sometimes be remedied by simply running
+
+```bash
+conda install tensorflow-gpu==2.4.1
+```
+
 ## 4. Download Pretrain (optional)
 Use script 4.1 from the scripts directory.
  
@@ -35,3 +47,8 @@ Or download manually
 [Quick96](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_Quick96.zip)
 
 ## 5. Navigate to the scripts directory and begin using DeepFaceLab_Linux ᗡ:
+Run all scripts with BASH shell
+```bash
+bash 1_clear_workspace.sh
+```
+etc

scripts/1_clear_workspace.sh

@@ -1,4 +1,8 @@
 #!/usr/bin/env bash
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate deepfacelab
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate deepfacelab
 source env.sh
 
 rm -r "$DFL_WORKSPACE"

scripts/3.1_denoise_data_dst_images.sh

@@ -2,5 +2,5 @@
 source env.sh
 
 $DFL_PYTHON "$DFL_SRC/main.py" videoed denoise-image-sequence \
-    --output-dir "$DFL_WORKSPACE/data_dst"
+    --input-dir "$DFL_WORKSPACE/data_dst"
 

scripts/4.1_download_XSeg_generic.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+source env.sh
+
+wget https://github.com/githubcatw/DeepFaceLab_Linux/releases/download/xseg/model_generic_xseg.zip
+unzip -q model_generic_xseg.zip -d "$DFL_SRC"
+rm model_generic_xseg.zip

scripts/5_XSeg_generic_wf_data_dst_apply.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+source env.sh
+
+$DFL_PYTHON "$DFL_SRC/main.py" xseg apply \
+    --input-dir "$DFL_WORKSPACE/data_dst/aligned" \
+    --model-dir "$DFL_SRC/model_generic_xseg"

scripts/5_XSeg_generic_wf_data_src_apply.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+source env.sh
+
+$DFL_PYTHON "$DFL_SRC/main.py" xseg apply \
+    --input-dir "$DFL_WORKSPACE/data_src/aligned" \
+    --model-dir "$DFL_SRC/model_generic_xseg"

scripts/6_export_AMP_as_dfm.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+source env.sh
+
+$DFL_PYTHON "$DFL_SRC/main.py" exportdfm \
+  --model-dir "$DFL_WORKSPACE/model" \
+  --model AMP

scripts/6_export_SAEHD_as_dfm.sh

@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+source env.sh
+
+$DFL_PYTHON "$DFL_SRC/main.py" exportdfm \
+  --model-dir "$DFL_WORKSPACE/model" \
+  --model SAEHD

scripts/6_train_Quick96.sh

@@ -4,8 +4,8 @@ source env.sh
 $DFL_PYTHON "$DFL_SRC/main.py" train \
     --training-data-src-dir "$DFL_WORKSPACE/data_src/aligned" \
     --training-data-dst-dir "$DFL_WORKSPACE/data_dst/aligned" \
-    --pretraining-data-dir "$DFL_ROOT/pretrain_CelebA" \
-    --pretrained-model-dir "$DFL_ROOT/pretrain_Quick96" \
+    --pretraining-data-dir "$DFL_SRC/pretrain_CelebA" \
+    --pretrained-model-dir "$DFL_SRC/pretrain_Quick96" \
     --model-dir "$DFL_WORKSPACE/model" \
     --model Quick96
 

scripts/6_train_SAEHD.sh

@@ -4,7 +4,7 @@ source env.sh
 $DFL_PYTHON "$DFL_SRC/main.py" train \
     --training-data-src-dir "$DFL_WORKSPACE/data_src/aligned" \
     --training-data-dst-dir "$DFL_WORKSPACE/data_dst/aligned" \
-    --pretraining-data-dir "$DFL_ROOT/pretrain_CelebA" \
+    --pretraining-data-dir "$DFL_SRC/pretrain_CelebA" \
     --model-dir "$DFL_WORKSPACE/model" \
     --model SAEHD
 

scripts/env.sh

@@ -1,7 +1,7 @@
 #!/usr/bin/env bash
 conda activate deepfacelab
 cd ..
-export DFL_PYTHON="python3.6"
+export DFL_PYTHON="python3.7"
 export DFL_WORKSPACE="workspace/"
 
 if [ ! -d "$DFL_WORKSPACE" ]; then