diff --git a/docker/Dockerfile.base b/docker/Dockerfile.base
index ad65b97a..6f0d1812 100644
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -28,7 +28,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
   libvulkan-dev \
   python3-numpy
 WORKDIR /root
-RUN git clone https://github.com/iqtlabs/gr-iqtlabs -b 1.0.69
+RUN git clone https://github.com/iqtlabs/gr-iqtlabs -b 1.0.70
 COPY --from=iqtlabs/gamutrf-vkfft:latest /root /root/gr-iqtlabs
 WORKDIR /root/gr-iqtlabs/build
 COPY --from=sigmf-builder /usr/local /usr/local
diff --git a/gamutrf/grscan.py b/gamutrf/grscan.py
index 6b15678b..49ddbe62 100644
--- a/gamutrf/grscan.py
+++ b/gamutrf/grscan.py
@@ -322,7 +322,7 @@ def get_pretune_block(
     ):
         # if pretuning, the pretune block will also do the batching.
         if pretune:
-            return self.iqtlabs.retune_pre_fft(
+            block = self.iqtlabs.retune_pre_fft(
                 nfft,
                 fft_batch_size,
                 "rx_freq",
@@ -334,8 +334,10 @@ def get_pretune_block(
                 tuning_ranges,
                 self.tag_now,
             )
-        # otherwise, the pretuning block will just do batching.
-        return blocks.stream_to_vector(gr.sizeof_gr_complex, fft_batch_size * nfft)
+        else:
+            # otherwise, the pretuning block will just do batching.
+            block = blocks.stream_to_vector(gr.sizeof_gr_complex, fft_batch_size * nfft)
+        return block
 
     def apply_window(self, nfft, fft_batch_size):
         window_constants = [val for val in self.get_window(nfft) for _ in range(2)]
@@ -350,13 +352,14 @@ def get_offload_fft_blocks(
         fft_block = None
         fft_roll = False
         if self.wavelearner:
-            fft_block = self.wavelearner.fft(int(fft_batch_size * nfft), (nfft), True)
+            fft_block = self.wavelearner.fft(int(fft_batch_size * nfft), nfft, True)
             fft_roll = True
         elif vkfft:
-            fft_block = self.iqtlabs.vkfft(int(fft_batch_size * nfft), nfft, True)
+            fft_block = self.iqtlabs.vkfft(fft_batch_size, nfft, True)
         else:
             fft_batch_size = 1
             fft_block = fft.fft_vcc(nfft, True, [], True, 1)
+        fft_block.set_thread_priority(99)
 
         fft_blocks = [
             self.apply_window(nfft, fft_batch_size),
diff --git a/orchestrator.yml b/orchestrator.yml
index dbd0205b..7bd24af7 100644
--- a/orchestrator.yml
+++ b/orchestrator.yml
@@ -81,10 +81,10 @@ services:
       - --inference_text_color=black
       # can be multiple, separate with comma
       - --inference_model_name=mini2_snr
-      - --n_inference=5
-      - --n_image=5
+      - --n_inference=10
+      - --n_image=10
       - --no-vkfft
-      - --rotate_secs=300
+      - --rotate_secs=60
       - --colormap=20
       # - --external_gps_server=1.2.3.4
       # - --external_gps_server_port=8888