diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index f28dc233b..9c5e50063 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -240,7 +240,8 @@ def parse_generation_parameters(x: str):
                 res[k] = v
         except Exception:
             pass
-    res["Full quality"] = res.get('VAE', None) != 'TAESD'
+    if res.get('VAE', None) == 'TAESD':
+        res["Full quality"] = False
     debug(f"Parse prompt: {res}")
     return res
 
diff --git a/modules/images.py b/modules/images.py
index 22fe42148..87a6b43d0 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -569,13 +569,14 @@ def atomically_save_image():
             fn = os.path.join(paths.data_path, shared.opts.save_log_fn)
             if not fn.endswith('.json'):
                 fn += '.json'
-            entries = shared.readfile(fn)
+            entries = shared.readfile(fn, silent=True)
             idx = len(list(entries))
             if idx == 0:
                 entries = []
             entry = { 'id': idx, 'filename': filename, 'time': datetime.datetime.now().isoformat(), 'info': exifinfo }
             entries.append(entry)
-            shared.writefile(entries, fn, mode='w')
+            shared.writefile(entries, fn, mode='w', silent=True)
+            shared.log.debug(f'Saving: json="{fn}" records={len(entries)}')
         save_queue.task_done()
 
 
diff --git a/modules/modelloader.py b/modules/modelloader.py
index 171d20a9e..9cd05dc82 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -102,7 +102,6 @@ def download_civit_preview(model_path: str, preview_url: str):
         os.remove(preview_file)
         res += f' error={e}'
         shared.log.error(f'CivitAI download error: url={preview_url} file={preview_file} written={written} {e}')
-        errors.display(e, 'CivitAI download error')
     shared.state.end()
     if img is None:
         return res
@@ -236,8 +235,7 @@ def download_diffusers_model(hub_id: str, cache_dir: str = None, download_config
         shared.log.error(f"Diffusers download error: {hub_id} {err}")
         return None
     try:
-        # TODO diffusers is this real error?
-        model_info_dict = hf.model_info(hub_id).cardData if pipeline_dir is not None else None # pylint: disable=no-member
+        model_info_dict = hf.model_info(hub_id).cardData if pipeline_dir is not None else None
     except Exception:
         model_info_dict = None
     if model_info_dict is not None and "prior" in model_info_dict: # some checkpoints need to be downloaded as "hidden" as they just serve as pre- or post-pipelines of other pipelines
diff --git a/modules/processing.py b/modules/processing.py
index b40973bbb..d02b8b4b3 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -210,7 +210,7 @@ class StableDiffusionProcessing:
         self.s_tmax = float('inf')  # not representable as a standard ui option
         shared.opts.data['clip_skip'] = clip_skip
         self.task_args = {}
-        # TODO a1111 compatibility items
+        # a1111 compatibility items
         self.refiner_switch_at = 0
         self.hr_prompt = ''
         self.all_hr_prompts = []
@@ -596,8 +596,6 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts=None, all_seeds=No
         "Model": None if (not shared.opts.add_model_name_to_info) or (not shared.sd_model.sd_checkpoint_info.model_name) else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', ''),
         "Model hash": getattr(p, 'sd_model_hash', None if (not shared.opts.add_model_hash_to_info) or (not shared.sd_model.sd_model_hash) else shared.sd_model.sd_model_hash),
         "VAE": (None if not shared.opts.add_model_name_to_info or modules.sd_vae.loaded_vae_file is None else os.path.splitext(os.path.basename(modules.sd_vae.loaded_vae_file))[0]) if p.full_quality else 'TAESD',
-        "Variation seed": None if p.subseed_strength == 0 else all_subseeds[index],
-        "Variation strength": None if p.subseed_strength == 0 else p.subseed_strength,
         "Seed resize from": None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}",
         "Clip skip": p.clip_skip if p.clip_skip > 1 else None,
         "Prompt2": p.refiner_prompt if len(p.refiner_prompt) > 0 else None,
@@ -613,6 +611,9 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts=None, all_seeds=No
     }
     if 'txt2img' in p.ops:
         pass
+    if shared.backend == shared.Backend.ORIGINAL:
+        args["Variation seed"] = None if p.subseed_strength == 0 else all_subseeds[index],
+        args["Variation strength"] = None if p.subseed_strength == 0 else p.subseed_strength,
     if 'hires' in p.ops or 'upscale' in p.ops:
         args["Second pass"] = p.enable_hr
         args["Hires force"] = p.hr_force