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| author | AUTOMATIC <16777216c@gmail.com> | 2022-10-11 22:03:05 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-10-11 22:03:05 +0300 |
| commit | d6fcc6b87bc00fcdecea276fe5b7c7945f7a8b14 (patch) | |
| tree | e9968d4fffc6d755e7f437f5042c09ae5f7b3895 /modules/ui.py | |
| parent | 12f4f4761bc6114e6cce6972409488e26c4c8ab4 (diff) | |
apply lr schedule to hypernets
Diffstat (limited to 'modules/ui.py')
| -rw-r--r-- | modules/ui.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/ui.py b/modules/ui.py index 2b688e32..1204eef7 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1070,7 +1070,7 @@ def create_ui(wrap_gradio_gpu_call): gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding; must specify a directory with a set of 1:1 ratio images</p>")
train_embedding_name = gr.Dropdown(label='Embedding', choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
train_hypernetwork_name = gr.Dropdown(label='Hypernetwork', choices=[x for x in shared.hypernetworks.keys()])
- learn_rate = gr.Textbox(label='Learning rate', placeholder="Learning rate", value = "5.0e-03")
+ learn_rate = gr.Textbox(label='Learning rate', placeholder="Learning rate", value="0.005")
dataset_directory = gr.Textbox(label='Dataset directory', placeholder="Path to directory with input images")
log_directory = gr.Textbox(label='Log directory', placeholder="Path to directory where to write outputs", value="textual_inversion")
template_file = gr.Textbox(label='Prompt template file', value=os.path.join(script_path, "textual_inversion_templates", "style_filewords.txt"))
|