From 8ca74d0cd2b7037448df9e92011eee702bc4ee93 Mon Sep 17 00:00:00 2001
From: Disty0 <disty@disty.xyz>
Date: Wed, 13 Aug 2025 22:10:30 +0300
Subject: [PATCH] SDNQ rename unused param_name arg to op

---
 modules/model_quant.py   | 2 +-
 modules/sdnq/__init__.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/modules/model_quant.py b/modules/model_quant.py
index 31dcedbf0..686703b9b 100644
--- a/modules/model_quant.py
+++ b/modules/model_quant.py
@@ -428,9 +428,9 @@ def sdnq_quantize_model(model, op=None, sd_model=None, do_gc: bool = True, weigh
         non_blocking=shared.opts.diffusers_offload_nonblocking,
         quantization_device=quantization_device,
         return_device=return_device,
-        param_name=op,
         modules_to_not_convert=modules_to_not_convert,
         modules_dtype_dict=modules_dtype_dict,
+        op=op,
     )
     t1 = time.time()
     timer.load.add('sdnq', t1 - t0)
diff --git a/modules/sdnq/__init__.py b/modules/sdnq/__init__.py
index ba4f7b9fb..2654a06e7 100644
--- a/modules/sdnq/__init__.py
+++ b/modules/sdnq/__init__.py
@@ -186,7 +186,7 @@ def sdnq_quantize_layer(layer, weights_dtype="int8", torch_dtype=None, group_siz
     return layer
 
 
-def apply_sdnq_to_module(model, weights_dtype="int8", torch_dtype=None, group_size=0, quant_conv=False, use_quantized_matmul=False, use_quantized_matmul_conv=False, dequantize_fp32=False, non_blocking=False, quantization_device=None, return_device=None, param_name=None, modules_to_not_convert: List[str] = [], modules_dtype_dict: Dict[str, List[str]] = {}): # pylint: disable=unused-argument
+def apply_sdnq_to_module(model, weights_dtype="int8", torch_dtype=None, group_size=0, quant_conv=False, use_quantized_matmul=False, use_quantized_matmul_conv=False, dequantize_fp32=False, non_blocking=False, quantization_device=None, return_device=None, modules_to_not_convert: List[str] = [], modules_dtype_dict: Dict[str, List[str]] = {}, op=None): # pylint: disable=unused-argument
     has_children = list(model.children())
     if not has_children:
         return model
@@ -238,9 +238,9 @@ def apply_sdnq_to_module(model, weights_dtype="int8", torch_dtype=None, group_si
                 non_blocking=non_blocking,
                 quantization_device=quantization_device,
                 return_device=return_device,
-                param_name=param_name,
                 modules_to_not_convert=modules_to_not_convert,
                 modules_dtype_dict=modules_dtype_dict,
+                op=op,
             )
     return model