diff --git a/extensions-builtin/multidiffusion-upscaler-for-automatic1111 b/extensions-builtin/multidiffusion-upscaler-for-automatic1111
index 0c3ae90d2..ade2c4441 160000
--- a/extensions-builtin/multidiffusion-upscaler-for-automatic1111
+++ b/extensions-builtin/multidiffusion-upscaler-for-automatic1111
@@ -1 +1 @@
-Subproject commit 0c3ae90d2b15ae7f12916b07f7da7c2088059b80
+Subproject commit ade2c4441988c80edc5b1d4360c3e0bc28b90a37
diff --git a/extensions-builtin/sd-dynamic-thresholding b/extensions-builtin/sd-dynamic-thresholding
index c9721ab01..f02cacfc9 160000
--- a/extensions-builtin/sd-dynamic-thresholding
+++ b/extensions-builtin/sd-dynamic-thresholding
@@ -1 +1 @@
-Subproject commit c9721ab01af368940fbdcc0c660de8f43947b198
+Subproject commit f02cacfc923e8bbf73f25327d722d50c458d66bb
diff --git a/modules/prompt_parser.py b/modules/prompt_parser.py
index 0604e2837..e2647a6f0 100644
--- a/modules/prompt_parser.py
+++ b/modules/prompt_parser.py
@@ -299,7 +299,7 @@ def parse_prompt_attention(text):
     square_brackets = []
     if opts.prompt_attention == 'Fixed attention':
         res = [[text, 1.0]]
-        log.debug(f'Prompt parse-attention: {opts.prompt_attention} {res}')
+        # log.debug(f'Prompt parse-attention: {opts.prompt_attention} {res}')
         return res
     elif opts.prompt_attention == 'Compel parser':
         conjunction = Compel.parse_prompt_string(text)
@@ -308,7 +308,7 @@ def parse_prompt_attention(text):
         res = []
         for frag in conjunction.prompts[0].children:
             res.append([frag.text, frag.weight])
-        log.debug(f'Prompt parse-attention: {opts.prompt_attention} {res}')
+        # log.debug(f'Prompt parse-attention: {opts.prompt_attention} {res}')
         return res
     elif opts.prompt_attention == 'A1111 parser':
         re_attention = re_attention_v1
@@ -363,7 +363,7 @@ def parse_prompt_attention(text):
             res.pop(i + 1)
         else:
             i += 1
-    log.debug(f'Prompt parse-attention: {opts.prompt_attention} {res}')
+    # log.debug(f'Prompt parse-attention: {opts.prompt_attention} {res}')
     return res
 
 if __name__ == "__main__":
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index e50eac586..7f95292c4 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -349,6 +349,7 @@ def validate_train_inputs(model_name, learn_rate, batch_size, gradient_step, dat
 
 def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_step, data_root, log_directory, training_width, training_height, varsize, steps, clip_grad_mode, clip_grad_value, shuffle_tags, tag_drop_out, latent_sampling_method, use_weight, create_image_every, save_embedding_every, template_filename, save_image_with_stored_embedding, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height): # pylint: disable=unused-argument
 
+    shared.log.debug(f'train_embedding: embedding_name={embedding_name}|learn_rate={learn_rate}|batch_size={batch_size}|gradient_step={gradient_step}|data_root={data_root}|log_directory={log_directory}|training_width={training_width}|training_height={training_height}|varsize={varsize}|steps={steps}|clip_grad_mode={clip_grad_mode}|clip_grad_value={clip_grad_value}|shuffle_tags={shuffle_tags}|tag_drop_out={tag_drop_out}|latent_sampling_method={latent_sampling_method}|use_weight={use_weight}|create_image_every={create_image_every}|save_embedding_every={save_embedding_every}|template_filename={template_filename}|save_image_with_stored_embedding={save_image_with_stored_embedding}|preview_from_txt2img={preview_from_txt2img}|preview_prompt={preview_prompt}|preview_negative_prompt={preview_negative_prompt}|preview_steps={preview_steps}|preview_sampler_index={preview_sampler_index}|preview_cfg_scale={preview_cfg_scale}|preview_seed={preview_seed}|preview_width={preview_width}|preview_height={preview_height}')
     save_embedding_every = save_embedding_every or 0
     create_image_every = create_image_every or 0
     template_file = textual_inversion_templates.get(template_filename, None)