fix(lora): accept lowercase lora_a and lora_b factor names

TaoLive adapters save the factors as lora_a and lora_b without the
.weight suffix, which no suffix table knew, so the file bound nothing.

modules/lora/native_adapter.py

@@ -94,6 +94,8 @@ SUFFIX_NORMALIZE = {
     "lora_B.weight": "lora_up.weight",
     # bare parameter names, saved by wrappers that hold the factors as nn.Parameter (alibaba-pai PDD files)
     "lora_down": "lora_down.weight",
+    "lora_a": "lora_down.weight",
+    "lora_b": "lora_up.weight",
     "lora_up": "lora_up.weight",
 }
 
@@ -107,6 +109,7 @@ LORA_SUFFIXES = (
     ".lora_down.weight", ".lora_up.weight", ".lora_mid.weight",
     ".lora_A.weight",    ".lora_B.weight",
     ".lora_down",        ".lora_up",
+    ".lora_a",           ".lora_b", # lowercase peft factor names without .weight (TaoLive adapters)
     # diff_b: bias delta some saves pair with the weight LoRA, applied as ex_bias.
     # magnitude / lora_magnitude_vector: DoRA row norms (ai-toolkit / PEFT key
     # names); converted onto the dora_scale path by try_load_lora.
@@ -158,7 +161,7 @@ FULL_SUFFIXES = (
 # on accidental overlaps with other families.
 
 LORA_MARKERS = (
-    ".lora_down", ".lora_up", # bare and .weight forms alike
+    ".lora_down", ".lora_up", ".lora_a", ".lora_b", # bare and .weight forms alike
     ".lora_A.weight", ".lora_B.weight",
     # PEFT named-adapter saves embed the slot name as ``.lora_A.<name>.weight``;
     # the trailing-dot forms catch every variant.

test/test-minimax-native-adapters.py

@@ -390,6 +390,7 @@ def oracle_mapping(state_dict, network_alpha=None):
     """
     if any(k.startswith(REFERENCE_PREFIXES) for k in state_dict):
         sd = {k.replace('base_model.model.dit.', 'diffusion_model.', 1) if k.startswith('base_model.model.dit.') else k: v for k, v in state_dict.items()}
+        sd = {k[:-len('.lora_a')] + ('.lora_A.weight' if k.endswith('.lora_a') else '.lora_B.weight') if k.endswith(('.lora_a', '.lora_b')) else k: v for k, v in sd.items()} # lowercase peft names the converter does not read
         converted = convert_diffusers(sd)
         out = {}
         for key, value in converted.items():