diff --git a/scripts/pusht/imf_attnres_local_queue.sh b/scripts/pusht/imf_attnres_local_queue.sh
new file mode 100755
index 0000000..d074dcf
--- /dev/null
+++ b/scripts/pusht/imf_attnres_local_queue.sh
@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+set -euo pipefail
+cd /home/droid/project/diffusion_policy/.worktrees/feat-pusht-imf-attnres
+export PYTHONUNBUFFERED=1
+export SWANLAB_API_KEY='PSZrBMLx1XAjDjvmhUcNz'
+export LD_LIBRARY_PATH="$(printf '%s:' .venv/lib/python3.9/site-packages/nvidia/*/lib | sed 's/:$//')"
+run_exp() {
+  local name="$1" emb="$2" layer="$3"
+  echo "[$(date '+%F %T')] START $name emb=$emb layer=$layer"
+  .venv/bin/python train.py \
+    --config-dir=. \
+    --config-name=image_pusht_diffusion_policy_dit_imf_attnres_full.yaml \
+    training.device=cuda:0 \
+    training.num_epochs=350 \
+    training.resume=false \
+    exp_name="$name" \
+    logging.group=imf_pusht_attnres_arch_sweep \
+    logging.name="$name" \
+    logging.resume=false \
+    logging.id=null \
+    hydra.run.dir="data/outputs/$name" \
+    policy.n_emb="$emb" \
+    policy.n_layer="$layer" \
+    > "data/run_logs/${name}.log" 2>&1
+  echo "[$(date '+%F %T')] END $name"
+}
+run_exp imf_attnres_emb384_layer18_seed42_local 384 18
+run_exp imf_attnres_emb256_layer6_seed42_local 256 6
+run_exp imf_attnres_emb128_layer6_seed42_local 128 6
diff --git a/scripts/pusht/imf_attnres_remote_gpu0_queue.sh b/scripts/pusht/imf_attnres_remote_gpu0_queue.sh
new file mode 100755
index 0000000..2f2a1ae
--- /dev/null
+++ b/scripts/pusht/imf_attnres_remote_gpu0_queue.sh
@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+set -euo pipefail
+cd /home/droid/project/diffusion_policy-smoke
+export PYTHONUNBUFFERED=1
+export SWANLAB_API_KEY='PSZrBMLx1XAjDjvmhUcNz'
+export LD_LIBRARY_PATH="$(printf '%s:' .venv/lib/python3.9/site-packages/nvidia/*/lib | sed 's/:$//')"
+run_exp() {
+  local name="$1" emb="$2" layer="$3"
+  echo "[$(date '+%F %T')] START $name emb=$emb layer=$layer"
+  .venv/bin/python train.py \
+    --config-dir=. \
+    --config-name=image_pusht_diffusion_policy_dit_imf_attnres_full.yaml \
+    training.device=cuda:0 \
+    training.num_epochs=350 \
+    training.resume=false \
+    exp_name="$name" \
+    logging.group=imf_pusht_attnres_arch_sweep \
+    logging.name="$name" \
+    logging.resume=false \
+    logging.id=null \
+    hydra.run.dir="data/outputs/$name" \
+    policy.n_emb="$emb" \
+    policy.n_layer="$layer" \
+    > "data/run_logs/${name}.log" 2>&1
+  echo "[$(date '+%F %T')] END $name"
+}
+run_exp imf_attnres_emb384_layer12_seed42_5880gpu0 384 12
+run_exp imf_attnres_emb256_layer12_seed42_5880gpu0 256 12
+run_exp imf_attnres_emb128_layer12_seed42_5880gpu0 128 12
diff --git a/scripts/pusht/imf_attnres_remote_gpu1_queue.sh b/scripts/pusht/imf_attnres_remote_gpu1_queue.sh
new file mode 100755
index 0000000..9161fdf
--- /dev/null
+++ b/scripts/pusht/imf_attnres_remote_gpu1_queue.sh
@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+set -euo pipefail
+cd /home/droid/project/diffusion_policy-smoke
+export PYTHONUNBUFFERED=1
+export SWANLAB_API_KEY='PSZrBMLx1XAjDjvmhUcNz'
+export LD_LIBRARY_PATH="$(printf '%s:' .venv/lib/python3.9/site-packages/nvidia/*/lib | sed 's/:$//')"
+run_exp() {
+  local name="$1" emb="$2" layer="$3"
+  echo "[$(date '+%F %T')] START $name emb=$emb layer=$layer"
+  .venv/bin/python train.py \
+    --config-dir=. \
+    --config-name=image_pusht_diffusion_policy_dit_imf_attnres_full.yaml \
+    training.device=cuda:1 \
+    training.num_epochs=350 \
+    training.resume=false \
+    exp_name="$name" \
+    logging.group=imf_pusht_attnres_arch_sweep \
+    logging.name="$name" \
+    logging.resume=false \
+    logging.id=null \
+    hydra.run.dir="data/outputs/$name" \
+    policy.n_emb="$emb" \
+    policy.n_layer="$layer" \
+    > "data/run_logs/${name}.log" 2>&1
+  echo "[$(date '+%F %T')] END $name"
+}
+run_exp imf_attnres_emb384_layer6_seed42_5880gpu1 384 6
+run_exp imf_attnres_emb256_layer18_seed42_5880gpu1 256 18
+run_exp imf_attnres_emb128_layer18_seed42_5880gpu1 128 18