diff --git a/CHANGELOG.md b/CHANGELOG.md
index a606bfb16..3e1ab23fe 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -22,6 +22,7 @@ Another big one, but now improvements to both **diffusers** and **original** bac
 - other:
   - major refactoring of the javascript code  
     includes fixes for text selections and navigation  
+  - system info tab now reports on nvidia driver version as well  
   - minor fixes in extra-networks  
   - installer handles origin changes for submodules  
 
diff --git a/extensions-builtin/sd-extension-system-info b/extensions-builtin/sd-extension-system-info
index 29b6f1602..4f0e81050 160000
--- a/extensions-builtin/sd-extension-system-info
+++ b/extensions-builtin/sd-extension-system-info
@@ -1 +1 @@
-Subproject commit 29b6f1602366556562bb76644444db2a51bd60bb
+Subproject commit 4f0e81050f1e429a2531d0bb702029f5cf18deab
diff --git a/modules/processing.py b/modules/processing.py
index 5ed798623..b9ceacab0 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -761,6 +761,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                         model=shared.sd_refiner,
                         prompt=[p.refiner_prompt] if len(p.refiner_prompt) > 0 else prompts,
                         negative_prompt=[p.refiner_negative] if len(p.refiner_negative) > 0 else negative_prompts,
+                        num_inference_steps=p.refiner_steps,
+                        denoising_start=p.refiner_denoise,
                         image=output.images[0],
                         output_type='np'
                     )
diff --git a/modules/sd_models.py b/modules/sd_models.py
index f78cdf5fb..17986ee58 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -382,7 +382,10 @@ def load_model_weights(model: torch.nn.Module, checkpoint_info: CheckpointInfo,
         shared.opts.data["sd_model_checkpoint"] = checkpoint_info.title
     if state_dict is None:
         state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
-    model.load_state_dict(state_dict, strict=False)
+    try:
+        model.load_state_dict(state_dict, strict=False)
+    except Exception as e:
+        shared.log.error(f'Error loading model weights: {checkpoint_info.filename} {e}')
     del state_dict
     timer.record("apply")
     if shared.opts.sd_checkpoint_cache > 0: