download_missing_models: plan IPAdapterUnifiedLoader's implicit clip_vision/ipadapter files (preset -> filename mapping)

download_missing_models.sh

@@ -192,6 +192,52 @@ def extract_models(data):
             scan_values(list(n["inputs"].values()))
     return refs
 
+# ---------------- implicit models (IPAdapterUnifiedLoader) ----------------
+#
+# IPAdapterUnifiedLoader never names its model files in the workflow JSON: at
+# runtime it scans models/clip_vision and models/ipadapter for filenames
+# hardcoded per preset (see ComfyUI_IPAdapter_plus/utils.py) and raises
+# "ClipVision model not found" if they're absent — so the widget scan above
+# can't see them. Map each preset to the files the loader will look for.
+# Both SD1.5 and SDXL variants are listed where they exist, because the
+# checkpoint architecture is only known at runtime; the unused variant costs
+# little (SD1.5 ipadapters are ~100 MB).
+CLIP_VIT_H = "clip_vision/CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors"
+CLIP_VIT_BIGG = "clip_vision/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors"
+UNIFIED_LOADER_PRESETS = {
+    "LIGHT - SD1.5 only (low strength)": [CLIP_VIT_H, "ipadapter/ip-adapter_sd15_light_v11.bin"],
+    "STANDARD (medium strength)": [CLIP_VIT_H, "ipadapter/ip-adapter_sd15.safetensors",
+                                   "ipadapter/ip-adapter_sdxl_vit-h.safetensors"],
+    "VIT-G (medium strength)": [CLIP_VIT_BIGG, "ipadapter/ip-adapter_sd15_vit-G.safetensors",
+                                "ipadapter/ip-adapter_sdxl.safetensors"],
+    "PLUS (high strength)": [CLIP_VIT_H, "ipadapter/ip-adapter-plus_sd15.safetensors",
+                             "ipadapter/ip-adapter-plus_sdxl_vit-h.safetensors"],
+    "PLUS FACE (portraits)": [CLIP_VIT_H, "ipadapter/ip-adapter-plus-face_sd15.safetensors",
+                              "ipadapter/ip-adapter-plus-face_sdxl_vit-h.safetensors"],
+    "FULL FACE - SD1.5 only (portraits stronger)": [CLIP_VIT_H, "ipadapter/ip-adapter-full-face_sd15.safetensors"],
+}
+
+def extract_implicit_models(data):
+    """Refs for models that nodes locate on disk at runtime without naming
+    them in the JSON. Currently covers IPAdapterUnifiedLoader; the FaceID
+    unified loader (insightface + lora files) is not handled."""
+    refs = set()
+    for n in iter_graph_nodes(data):
+        if (n.get("type") or n.get("class_type")) != "IPAdapterUnifiedLoader":
+            continue
+        inputs = n.get("inputs")
+        if isinstance(inputs, dict) and isinstance(inputs.get("preset"), str):
+            preset = inputs["preset"]  # API format
+        else:  # UI format: the preset is one of the widget values
+            wv = n.get("widgets_values") or []
+            preset = next((v for v in wv if isinstance(v, str) and v in UNIFIED_LOADER_PRESETS), None)
+        if preset in UNIFIED_LOADER_PRESETS:
+            refs.update(UNIFIED_LOADER_PRESETS[preset])
+        else:
+            print(f"  {C_YELLOW}⚠ IPAdapterUnifiedLoader with unrecognized preset {preset!r} — "
+                  f"cannot plan its clip_vision/ipadapter files{C_RESET}")
+    return refs
+
 # ---------------- custom-node dependency extraction ----------------
 
 def norm_name(s):
@@ -736,8 +782,10 @@ def main():
             data = json.load(fh)
         chosen_data.append((os.path.basename(f), data))
         refs = extract_models(data)
-        print(f"  • {os.path.basename(f)}  ({len(refs)} model refs)")
-        for r in refs:
+        implicit = extract_implicit_models(data) - refs
+        suffix = f" + {len(implicit)} implicit via IPAdapterUnifiedLoader" if implicit else ""
+        print(f"  • {os.path.basename(f)}  ({len(refs)} model refs{suffix})")
+        for r in refs | implicit:
             wanted.setdefault(r, []).append(os.path.basename(f))
 
     # -------- custom-node packs --------