diff --git a/invokeai/backend/model_manager/configs/lora.py b/invokeai/backend/model_manager/configs/lora.py
index dcacf8d492..1619c9d6f0 100644
--- a/invokeai/backend/model_manager/configs/lora.py
+++ b/invokeai/backend/model_manager/configs/lora.py
@@ -239,6 +239,52 @@ def _is_flux2_lora_state_dict(state_dict: dict[str | int, Any]) -> bool:
                 if in_dim is not None:
                     return in_dim in _FLUX2_VEC_IN_DIMS
 
+    # Kohya format: check transformer block dimensions (hidden_size and MLP ratio).
+    # This handles LoRAs that only target transformer blocks (no txt_in/vector_in/context_embedder).
+    # Klein 9B has hidden_size=4096 (vs 3072 for FLUX.1 and Klein 4B).
+    # Klein 4B has same hidden_size as FLUX.1 (3072) but different mlp_ratio (6 vs 4).
+    kohya_hidden_size: int | None = None
+    for key in state_dict:
+        if not isinstance(key, str):
+            continue
+        if not key.startswith("lora_unet_"):
+            continue
+
+        # Check img_attn_proj hidden_size
+        if "_img_attn_proj." in key and key.endswith("lora_down.weight"):
+            kohya_hidden_size = state_dict[key].shape[1]
+            if kohya_hidden_size != _FLUX1_HIDDEN_SIZE:
+                return True
+            break
+        # LoKR variant
+        elif "_img_attn_proj." in key and key.endswith((".lokr_w1", ".lokr_w1_b")):
+            layer_prefix = key.rsplit(".", 1)[0]
+            in_dim = _lokr_in_dim(state_dict, layer_prefix)
+            if in_dim is not None:
+                if in_dim != _FLUX1_HIDDEN_SIZE:
+                    return True
+                kohya_hidden_size = in_dim
+            break
+
+    # Kohya format: hidden_size matches FLUX.1. Check MLP ratio to distinguish Klein 4B.
+    # Klein 4B uses mlp_ratio=6 (ffn_dim=18432), FLUX.1 uses mlp_ratio=4 (ffn_dim=12288).
+    if kohya_hidden_size == _FLUX1_HIDDEN_SIZE:
+        for key in state_dict:
+            if not isinstance(key, str):
+                continue
+            if key.startswith("lora_unet_") and "_img_mlp_0." in key and key.endswith("lora_up.weight"):
+                ffn_dim = state_dict[key].shape[0]
+                if ffn_dim != kohya_hidden_size * _FLUX1_MLP_RATIO:
+                    return True
+                break
+            # LoKR variant
+            if key.startswith("lora_unet_") and "_img_mlp_0." in key and key.endswith((".lokr_w1", ".lokr_w1_a")):
+                layer_prefix = key.rsplit(".", 1)[0]
+                out_dim = _lokr_out_dim(state_dict, layer_prefix)
+                if out_dim is not None and out_dim != kohya_hidden_size * _FLUX1_MLP_RATIO:
+                    return True
+                break
+
     return False
 
 
@@ -421,6 +467,33 @@ def _get_flux2_lora_variant(state_dict: dict[str | int, Any]) -> Flux2VariantTyp
                         return Flux2VariantType.Klein9B
                     return None
 
+    # Kohya format: check transformer block dimensions (hidden_size from img_attn_proj).
+    # This handles LoRAs that only target transformer blocks (no txt_in/vector_in/context_embedder).
+    for key in state_dict:
+        if not isinstance(key, str):
+            continue
+        if not key.startswith("lora_unet_"):
+            continue
+
+        # Check img_attn_proj hidden_size
+        if "_img_attn_proj." in key and key.endswith("lora_down.weight"):
+            dim = state_dict[key].shape[1]
+            if dim == KLEIN_4B_HIDDEN_SIZE:
+                return Flux2VariantType.Klein4B
+            if dim == KLEIN_9B_HIDDEN_SIZE:
+                return Flux2VariantType.Klein9B
+            return None
+        # LoKR variant
+        elif "_img_attn_proj." in key and key.endswith((".lokr_w1", ".lokr_w1_b")):
+            layer_prefix = key.rsplit(".", 1)[0]
+            in_dim = _lokr_in_dim(state_dict, layer_prefix)
+            if in_dim is not None:
+                if in_dim == KLEIN_4B_HIDDEN_SIZE:
+                    return Flux2VariantType.Klein4B
+                if in_dim == KLEIN_9B_HIDDEN_SIZE:
+                    return Flux2VariantType.Klein9B
+                return None
+
     return None