diff --git a/modules/modelstats.py b/modules/modelstats.py
index 3657e523a..2e5e7f447 100644
--- a/modules/modelstats.py
+++ b/modules/modelstats.py
@@ -102,6 +102,8 @@ def analyze():
         keys = sd_models.get_signature(shared.sd_model).keys()
     model.modules.clear()
     for k in keys: # pylint: disable=protected-access
+        if k.startswith('_'):
+            continue
         component = getattr(shared.sd_model, k, None)
         module = Module(k, component)
         model.modules.append(module)
diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 8343559c4..4ae15903a 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -12,8 +12,7 @@ from modules.onnx_impl import preprocess_pipeline as preprocess_onnx_pipeline, c
 from modules.lora import lora_common
 
 
-debug = shared.log.trace if os.environ.get('SD_DIFFUSERS_DEBUG', None) is not None else lambda *args, **kwargs: None
-debug('Trace: DIFFUSERS')
+debug = os.environ.get('SD_DIFFUSERS_DEBUG', None) is not None
 last_p = None
 orig_pipeline = shared.sd_model
 
@@ -136,6 +135,8 @@ def process_base(p: processing.StableDiffusionProcessing):
     if shared.opts.scheduler_eta is not None and shared.opts.scheduler_eta > 0 and shared.opts.scheduler_eta < 1:
         p.extra_generation_params["Sampler Eta"] = shared.opts.scheduler_eta
     output = None
+    if debug:
+        modelstats.analyze()
     try:
         t0 = time.time()
         extra_networks.activate(p, exclude=['text_encoder', 'text_encoder_2', 'text_encoder_3'])
@@ -471,7 +472,8 @@ def validate_pipeline(p: processing.StableDiffusionProcessing):
 
 def process_diffusers(p: processing.StableDiffusionProcessing):
     results = []
-    debug(f'Process diffusers args: {vars(p)}')
+    if debug:
+        shared.log.trace(f'Process diffusers args: {vars(p)}')
     if not validate_pipeline(p):
         return results
 
diff --git a/pipelines/generic.py b/pipelines/generic.py
index c4d3a4785..43e282b17 100644
--- a/pipelines/generic.py
+++ b/pipelines/generic.py
@@ -64,9 +64,8 @@ def load_transformer(repo_id, cls_name, load_config={}, subfolder="transformer",
         if shared.opts.diffusers_offload_mode != 'none' and transformer is not None:
             sd_models.move_model(transformer, devices.cpu)
     except Exception as e:
-        shared.log.error(f'Load model: type=transformer {e}')
-        if debug:
-            errors.display(e, 'Load:')
+        shared.log.error(f'Load model: transformer="{repo_id}" cls={cls_name.__name__} {e}')
+        errors.display(e, 'Load:')
         raise
     devices.torch_gc()
     return transformer
@@ -156,9 +155,8 @@ def load_text_encoder(repo_id, cls_name, load_config={}, subfolder="text_encoder
         if shared.opts.diffusers_offload_mode != 'none' and text_encoder is not None:
             sd_models.move_model(text_encoder, devices.cpu)
     except Exception as e:
-        shared.log.error(f'Load model: type=te {e}')
-        if debug:
-            errors.display(e, 'Load:')
+        shared.log.error(f'Load model: text_encoder="{repo_id}" cls={cls_name.__name__} {e}')
+        errors.display(e, 'Load:')
         raise
     devices.torch_gc()
     return text_encoder