Move mvadapter+stablenormal to runtime --no-deps (over-pinned conflicting deps)

app.py

@@ -28,14 +28,21 @@ from pathlib import Path
 # ──────────────────────────────────────────────────────────────────────────────
 _RUNTIME_PKG_MARKER = Path("/tmp/.runtime_pkgs_installed")
 
-# Packages requiring --no-build-isolation (chumpy transitive dep chain)
+# 1. Packages requiring --no-build-isolation (chumpy transitive dep via hmr2/skel)
 _NO_ISOLATION_PACKAGES = [
     "chumpy @ git+https://github.com/mattloper/chumpy.git@580566eafc9ac68b2614b64d6f7aaa84eebb70da",
     "hmr2 @ git+https://github.com/shubham-goel/4D-Humans.git@efe18deff163b29dff87ddbd575fa29b716a356c",
     "skel @ git+https://github.com/MarilynKeller/SKEL.git@c32cf16581295bff19399379efe5b776d707cd95",
 ]
 
-# Packages requiring nvcc (compiled at runtime when GPU container is available)
+# 2. Packages with over-pinned deps that conflict with our stack; install --no-deps
+#    (their actual runtime imports only need the packages already in our requirements)
+_NO_DEPS_PACKAGES = [
+    "mvadapter @ git+https://github.com/huanngzh/MV-Adapter.git@4277e0018232bac82bb2c103caf0893cedb711be",
+    "stablenormal @ git+https://github.com/Stable-X/StableNormal.git@594b934630ab3bc71f35c77d14ec7feb98480cd0",
+]
+
+# 3. Packages requiring nvcc (CUDA compiler only in runtime GPU containers)
 _CUDA_PACKAGES = [
     "nvdiffrast @ git+https://github.com/NVlabs/nvdiffrast.git@253ac4fcea7de5f396371124af597e6cc957bfae",
     "diso @ git+https://github.com/SarahWeiii/diso.git@9792ad928ccb09bdec938779651ee03e395758a6",
@@ -45,16 +52,18 @@ _CUDA_PACKAGES = [
 def _install_runtime_packages():
     if _RUNTIME_PKG_MARKER.exists():
         return
-    print("[startup] Installing runtime packages (first run, ~5-10 min)...")
+    print("[startup] Installing runtime packages (first run, ~10-15 min)...")
     subprocess.run(
         [sys.executable, "-m", "pip", "install", "--quiet", "--no-build-isolation"]
-        + _NO_ISOLATION_PACKAGES,
-        check=True,
+        + _NO_ISOLATION_PACKAGES, check=True,
+    )
+    subprocess.run(
+        [sys.executable, "-m", "pip", "install", "--quiet", "--no-deps"]
+        + _NO_DEPS_PACKAGES, check=True,
     )
     subprocess.run(
         [sys.executable, "-m", "pip", "install", "--quiet"]
-        + _CUDA_PACKAGES,
-        check=True,
+        + _CUDA_PACKAGES, check=True,
     )
     _RUNTIME_PKG_MARKER.touch()
     print("[startup] Runtime packages installed.")

requirements.txt

@@ -10,7 +10,8 @@ spaces
 #   - nvdiffrast/diso/detectron2 require nvcc (NVIDIA CUDA compiler) which is only
 #     available in the ZeroGPU runtime container, not the Docker build stage.
 clip @ git+https://github.com/openai/CLIP.git@d05afc436d78f1c48dc0dbf8e5980a9d471f35f6
-mvadapter @ git+https://github.com/huanngzh/MV-Adapter.git@4277e0018232bac82bb2c103caf0893cedb711be
+# mvadapter and stablenormal use over-pinned deps (opencv-python vs headless, diffusers==0.28.0)
+# installed at runtime with --no-deps in app.py
 
 # Core ML
 accelerate
@@ -51,7 +52,7 @@ facexlib
 face-alignment
 
 # Surface enhancement
-stablenormal @ git+https://github.com/Stable-X/StableNormal.git@594b934630ab3bc71f35c77d14ec7feb98480cd0
+# stablenormal: installed at runtime with --no-deps (it pins diffusers==0.28.0)
 controlnet_aux
 
 # CV