diff --git a/demo/realtime-img2img/requirements.txt b/demo/realtime-img2img/requirements.txt
index 7f77e46..6ef2ac7 100644
--- a/demo/realtime-img2img/requirements.txt
+++ b/demo/realtime-img2img/requirements.txt
@@ -1,5 +1,8 @@
 diffusers==0.33.1
-transformers==4.35.2
+# transformers 4.35.2 is incompatible with diffusers 0.33.1: diffusers' IP-Adapter
+# loader imports SiglipImageProcessor, which only exists in transformers >= 4.45.
+# 4.49.0 is verified working with this stack on macOS (Apple Silicon / MPS).
+transformers==4.49.0
 --pre
 torch
 torchvision
diff --git a/demo/realtime-img2img/start_mac.sh b/demo/realtime-img2img/start_mac.sh
new file mode 100755
index 0000000..3a60333
--- /dev/null
+++ b/demo/realtime-img2img/start_mac.sh
@@ -0,0 +1,18 @@
+#!/bin/bash
+# Launch StreamDiffusion realtime img2img on macOS (Apple Silicon / MPS).
+#
+# Differs from run_mac.sh: it does NOT edit main.py in place, and it lets you
+# opt into fully-offline model loading (use only locally-cached weights) by
+# exporting HF_HUB_OFFLINE=1 before running.
+#
+# Open http://localhost:7860 once it prints "Uvicorn running".
+set -e
+cd "$(dirname "$0")"
+
+# Free port 7860 if a previous run is still listening.
+lsof -ti:7860 | xargs kill -9 2>/dev/null || true
+
+# Make the repo's `streamdiffusion` importable without installing.
+export PYTHONPATH="$(cd ../.. && pwd):${PYTHONPATH:-}"
+
+exec python main.py --taesd --acceleration none --debug