diff --git a/hbw/scripts/hbwtasks.sh b/hbw/scripts/hbwtasks.sh
index bcac3587..3337f779 100644
--- a/hbw/scripts/hbwtasks.sh
+++ b/hbw/scripts/hbwtasks.sh
@@ -41,11 +41,12 @@ hbw_cutflow(){
     done
 }
 
-ml_model="test"
+ml_model="dense_default"
 ml_datasets="ml"
 
 hbw_ml_training(){
     law run cf.MLTraining --version $version --workers 10 \
+	--configs $config \
 	--ml-model $ml_model \
 	--workflow htcondor \
 	--htcondor-gpus 1 \
@@ -72,10 +73,11 @@ hbw_ml_preparation(){
 	    --skip-datasets "qqHH*,data*" \
 	    --cf.MergeMLEvents-workflow local \
 	    --cf.PrepareMLEvents-pilot True \
-	    --cf.MergeMLEvents-parallel-jobs 4000 \
-	    --cf.MergeMLEvents-retries 1 \
-	    --cf.MergeMLEvents-tasks-per-job 1 \
-	    --cf.MergeMLEvents-job-workers 1 \
+	    --cf.PrepareMLEvents-workflow htcondor \
+	    --cf.PrepareMLEvents-parallel-jobs 4000 \
+	    --cf.PrepareMLEvents-retries 1 \
+	    --cf.PrepareMLEvents-tasks-per-job 1 \
+	    --cf.PrepareMLEvents-job-workers 1 \
 	    $@
     done
 }
@@ -101,7 +103,7 @@ hbw_plot_variables(){
 	$@
 }
 
-ml_model="default"
+ml_model="dense_default"
 ml_output_variables="mlscore.*"
 ml_categories="resolved,boosted,incl,ml_ggHH_kl_1_kt_1_sl_hbbhww,ml_tt,ml_st,ml_w_lnu,ml_dy_lep"
 
@@ -148,8 +150,18 @@ hbw_control_plots_much(){
 hbw_datacards(){
     law run cf.CreateDatacards --version $version --workers 50 \
 	--config $config \
-	--producers ml_inputs --ml-models $ml_model \
+	--ml-models $ml_model \
 	--pilot --workflow htcondor \
 	--retries 1 \
+	--cf.MLTraining-htcondor-gpus 1 \
+	--cf.MLTraining-htcondor-memory 40000 \
+	--cf.MLTraining-max-runtime 48h \
+	--cf.MergeMLEvents-workflow local \
+	--cf.PrepareMLEvents-workflow htcondor \
+	--cf.PrepareMLEvents-htcondor-gpus 0 \
+	--cf.PrepareMLEvents-htcondor-memory 4000 \
+	--cf.PrepareMLEvents-max-runtime 3h \
+	--cf.PrepareMLEvents-pilot True \
+	--cf.ReduceEvents-workflow htcondor
 	$@
 }
diff --git a/hbw/tasks/wrapper.py b/hbw/tasks/wrapper.py
index 2e313ae3..bac4588f 100644
--- a/hbw/tasks/wrapper.py
+++ b/hbw/tasks/wrapper.py
@@ -5,11 +5,13 @@
 e.g. default sets of plots or datacards
 """
 
+import law
+
 from columnflow.tasks.framework.mixins import (
     CalibratorsMixin,  # SelectorStepsMixin, ProducersMixin, MLModelsMixin,
 )
 from columnflow.tasks.plotting import PlotVariables1D
-# from columnflow.tasks.framework.remote import RemoteWorkflow
+from columnflow.tasks.framework.remote import RemoteWorkflow
 
 from columnflow.util import dev_sandbox
 
@@ -19,9 +21,15 @@ class DefaultPlots(
     # ProducersMixin,
     # SelectorStepsMixin,
     CalibratorsMixin,
+    law.LocalWorkflow,
+    RemoteWorkflow,
 ):
     sandbox = dev_sandbox("bash::$CF_BASE/sandboxes/venv_columnar.sh")
 
+    def create_branch_map(self):
+        # create a dummy branch map so that this task could as a job
+        return {0: None}
+
     def requires(self):
         reqs = {}
 
@@ -30,7 +38,6 @@ def requires(self):
             # control plots with data
             reqs[f"control_plots_{channel}"] = PlotVariables1D.req(
                 self,
-                config="config_2017",
                 producers=("features",),
                 processes=(f"d{channel}ch",),
                 process_settings=[["scale_signal"]],
@@ -43,7 +50,6 @@ def requires(self):
             # ML input features
             reqs[f"ml_inputs_{channel}"] = PlotVariables1D.req(
                 self,
-                config="config_2017",
                 producers=("ml_inputs",),
                 processes=(f"{channel}ch",),
                 # process_settings=[["scale_signal"]],
@@ -57,7 +63,6 @@ def requires(self):
             ml_model = "dense_default"
             reqs[f"ml_outputs_{channel}"] = PlotVariables1D.req(
                 self,
-                config="config_2017",
                 producers=(f"ml_{ml_model}",),
                 ml_models=(ml_model,),
                 processes=(f"{channel}ch",),