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diff --git a/scripts/test_1024p.sh b/scripts/test_1024p.sh
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+################################ Testing ################################

+# labels only

+python test.py --name label2city_1024p --netG local --ngf 32 --resize_or_crop none
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diff --git a/scripts/test_1024p_feat.sh b/scripts/test_1024p_feat.sh
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+################################ Testing ################################

+# first precompute and cluster all features

+python encode_features.py --name label2city_1024p_feat --netG local --ngf 32 --resize_or_crop none;

+# use instance-wise features

+python test.py --name label2city_1024p_feat ---netG local --ngf 32 --resize_or_crop none --instance_feat
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diff --git a/scripts/test_512p.sh b/scripts/test_512p.sh
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+++ b/scripts/test_512p.sh
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+################################ Testing ################################

+# labels only

+python test.py --name label2city_512p
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diff --git a/scripts/test_512p_feat.sh b/scripts/test_512p_feat.sh
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+################################ Testing ################################

+# first precompute and cluster all features

+python encode_features.py --name label2city_512p_feat;

+# use instance-wise features

+python test.py --name label2city_512p_feat --instance_feat
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diff --git a/scripts/train_1024p_12G.sh b/scripts/train_1024p_12G.sh
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+############## To train images at 2048 x 1024 resolution after training 1024 x 512 resolution models #############

+##### Using GPUs with 12G memory (not tested)

+# Using labels only

+python train.py --name label2city_1024p --netG local --ngf 32 --num_D 3 --load_pretrain checkpoints/label2city_512p/ --niter_fix_global 20 --resize_or_crop crop --fineSize 1024
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diff --git a/scripts/train_1024p_24G.sh b/scripts/train_1024p_24G.sh
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+++ b/scripts/train_1024p_24G.sh
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+############## To train images at 2048 x 1024 resolution after training 1024 x 512 resolution models #############

+######## Using GPUs with 24G memory

+# Using labels only

+python train.py --name label2city_1024p --netG local --ngf 32 --num_D 3 --load_pretrain checkpoints/label2city_512p/ --niter 50 --niter_decay 50 --niter_fix_global 10 --resize_or_crop none
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diff --git a/scripts/train_1024p_feat_12G.sh b/scripts/train_1024p_feat_12G.sh
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+++ b/scripts/train_1024p_feat_12G.sh
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+############## To train images at 2048 x 1024 resolution after training 1024 x 512 resolution models #############

+##### Using GPUs with 12G memory (not tested)

+# First precompute feature maps and save them

+python precompute_feature_maps.py --name label2city_512p_feat;

+# Adding instances and encoded features

+python train.py --name label2city_1024p_feat --netG local --ngf 32 --num_D 3 --load_pretrain checkpoints/label2city_512p_feat/ --niter_fix_global 20 --resize_or_crop crop --fineSize 896 --instance_feat --load_features
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diff --git a/scripts/train_1024p_feat_24G.sh b/scripts/train_1024p_feat_24G.sh
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+++ b/scripts/train_1024p_feat_24G.sh
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+############## To train images at 2048 x 1024 resolution after training 1024 x 512 resolution models #############

+######## Using GPUs with 24G memory

+# First precompute feature maps and save them

+python precompute_feature_maps.py --name label2city_512p_feat;

+# Adding instances and encoded features

+python train.py --name label2city_1024p_feat --netG local --ngf 32 --num_D 3 --load_pretrain checkpoints/label2city_512p_feat/ --niter 50 --niter_decay 50 --niter_fix_global 10 --resize_or_crop none --instance_feat --load_features
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diff --git a/scripts/train_512p.sh b/scripts/train_512p.sh
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+++ b/scripts/train_512p.sh
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+### Using labels only

+python train.py --name label2city_512p
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diff --git a/scripts/train_512p_feat.sh b/scripts/train_512p_feat.sh
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+++ b/scripts/train_512p_feat.sh
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+### Adding instances and encoded features

+python train.py --name label2city_512p_feat --instance_feat
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diff --git a/scripts/train_512p_multigpu.sh b/scripts/train_512p_multigpu.sh
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+++ b/scripts/train_512p_multigpu.sh
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+######## Multi-GPU training example #######

+python train.py --name label2city_512p --batchSize 8 --gpu_ids 0,1,2,3,4,5,6,7
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