Deploy MODUS 3-tab any-to-any demo (ZeroGPU)

app.py

@@ -21,6 +21,19 @@ try:
 except Exception as _e:
     print(f"[app] torch import failed: {_e}", flush=True)
 
+# Teach PIL to decode in-the-wild formats (AVIF, iPhone HEIC). gradio opens each
+# uploaded file with PIL.Image.open before it reaches our code, so registering
+# these openers here (import-time) is what lets those uploads work at all.
+try:
+    import pillow_avif  # noqa: F401  (registers the AVIF opener on import)
+except Exception as _e:
+    print(f"[app] pillow-avif-plugin unavailable: {_e}", flush=True)
+try:
+    from pillow_heif import register_heif_opener
+    register_heif_opener()
+except Exception as _e:
+    print(f"[app] pillow-heif unavailable: {_e}", flush=True)
+
 # ── Install the MODUS backend from the (private) GitHub repo at startup ──────────
 # Single source of truth: this Space only carries app.py + fourm/ + test_images/;
 # the demo/inference code (demo_modus, any2any, modeling, data, core, conf, ...)

requirements.txt

@@ -18,6 +18,8 @@ diffusers==0.20.0            # diffusers_compat.py shims this for fourm
 # --- numerics / io / cv ---
 numpy==1.26.4
 pillow==10.4.0
+pillow-avif-plugin==1.4.6    # decode in-the-wild AVIF uploads
+pillow-heif==0.18.0          # decode iPhone HEIC uploads
 matplotlib==3.9.2
 opencv-python-headless==4.11.0.86
 pyarrow==17.0.0