diff --git a/l b/l
deleted file mode 100644
index 7be10e56cd11bf7357ccfef0bea11cd7d305a3a3..0000000000000000000000000000000000000000
--- a/l
+++ /dev/null
@@ -1,44 +0,0 @@
-diff --git a/README.rst b/README.rst
-index ba0572a..ee31738 100644
---- a/README.rst
-+++ b/README.rst
-@@ -25,6 +25,7 @@ Then, you can create and activate the required conda environment with the follow
-     $ cd bob.paper.icassp2022_morph_generate
-     $ conda install -n base -c conda-forge mamba
-     $ mamba env create -f environment.yml -n bob.paper.icassp2022_morph_generate
-+    $ conda activate bob.paper.icassp2021_morph
- 
- This will install all the required software to generate the morphing attacks.
- 
-@@ -39,6 +40,7 @@ The projection process relies on several pre-existing models:
- 
- 
- In order to download those models, one must specify the destination path of choice in the ``~/.bobrc`` file, through the following commands::
-+
-     $ bob config set sg2_morph.dlib_lmd_path /path/to/dlib/landmark/detector.dat
-     $ bob config set sg2_morph.sg2_path /path/to/stylegan2/pretrained/model.pkl
-     $ bob config set sg2_morph.vgg16_path /path/to/vgg16/pretrained/model.pkl
-@@ -53,6 +55,7 @@ Generating Morphs
- 
- The script options can be viewed with::
- 
-+    $ conda activate bob.paper.icassp2021_morph
-     $ python gen_morphs.py -h
- 
- The morphs of the following types of morphs can be generated at different alphas:
-@@ -64,7 +67,6 @@ The morphs of the following types of morphs can be generated at different alphas
- 
- Typical usage::
- 
--    $ conda activate bob.paper.icassp2021_morph
-     $ python gen_morphs.py --opencv --facemorpher --stylegan2 --mipgan2 -s path/to/folder/of/images/ -l path/to/csv/of/pairs.csv -d path/to/destination/folder --latents path/to/latent/vectors --alphas 0.3 0.5 0.7
- 
- The ``pairs.csv`` file should simply be a 2 column `.csv` file **without a header** containing only the filenames of the 2 images you want to morph:
-@@ -92,7 +94,6 @@ development team by asking your question on `stackoverflow`_  and with the tag *
- 
- .. _author: eklavya.sarkar@idiap.ch
- .. _bob: https://www.idiap.ch/software/bob
--.. _installation: https://www.idiap.ch/software/bob/install
- .. _conda: https://conda.io
- .. _stackoverflow: https://stackoverflow.com/questions/tagged/python-bob
- .. _example: http://dlib.net/face_landmark_detection.py.html