diff --git a/server/operators/sd_local/run.py b/server/operators/sd_local/run.py
index 1fc74ec..941b9c5 100644
--- a/server/operators/sd_local/run.py
+++ b/server/operators/sd_local/run.py
@@ -23,7 +23,17 @@ p = json.loads(a.params)
 
 HERE = os.path.expanduser("~/Documents/repose")
 BASE = os.path.join(HERE, "models", "Hyper_Realism_1.2_fp16.safetensors")
-LORA_DIR = os.path.join(HERE, "models", "lora")
+# LoRA search path: John's master dir first, the repose copy second (SD_LORA_DIRS to override)
+LORA_DIRS = [os.path.expanduser(d) for d in os.environ.get(
+    "SD_LORA_DIRS", "~/Documents/localmodels/Lora:~/Documents/repose/models/lora").split(":")]
+
+
+def find_lora(stem):
+    for d in LORA_DIRS:
+        cand = os.path.join(d, stem + ".safetensors")
+        if os.path.exists(cand):
+            return cand
+    return None
 if not os.path.exists(BASE):
     print(f"ERROR: {BASE} missing — sd_local runs on the primary only")
     sys.exit(1)
@@ -50,14 +60,23 @@ pipe = pipe.to(dev)
 # no attention slicing — it crashes IP-Adapter attn-processor injection (see repose.py)
 
 if p.get("loras"):
+    from safetensors.torch import load_file
     names, weights = [], []
     for spec in p["loras"]:
         stem, _, w = str(spec).partition("=")
-        pipe.load_lora_weights(LORA_DIR, weight_name=f"{stem}.safetensors",
-                               adapter_name=stem.replace(" ", "_"))
+        path = find_lora(stem.strip())
+        if not path:
+            print(f"[sd] LORA MISS '{stem}' — searched {LORA_DIRS}", flush=True)
+            continue
+        # UNet-only: this diffusers build trips an IndexError on these kohya files' text-encoder
+        # half (empty rank_dict in load_lora_into_text_encoder). The UNet half carries the look.
+        sd_l = load_file(path)
+        unet_only = {k: v for k, v in sd_l.items() if not k.startswith("lora_te")}
+        pipe.load_lora_weights(unet_only, adapter_name=stem.replace(" ", "_"))
         names.append(stem.replace(" ", "_"))
         weights.append(float(w or 0.6))
-    pipe.set_adapters(names, weights)
+    if names:
+        pipe.set_adapters(names, weights)
     print(f"[sd] loras: {dict(zip(names, weights))}", flush=True)
 
 if a.input:                                     # reference image → IP-Adapter