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author | DepFA <35278260+dfaker@users.noreply.github.com> | 2022-10-19 18:50:46 +0000 |
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committer | GitHub <noreply@github.com> | 2022-10-19 18:50:46 +0000 |
commit | eb7ba4b713ac2fb960ecf6365b1de0c89451e583 (patch) | |
tree | 05916703e08211c3a71ab2e143e1b02d557da328 /modules/ui.py | |
parent | 019a3a88f07766f2d32c32fbe8e41625f28ecb5e (diff) | |
download | stable-diffusion-webui-gfx803-eb7ba4b713ac2fb960ecf6365b1de0c89451e583.tar.gz stable-diffusion-webui-gfx803-eb7ba4b713ac2fb960ecf6365b1de0c89451e583.tar.bz2 stable-diffusion-webui-gfx803-eb7ba4b713ac2fb960ecf6365b1de0c89451e583.zip |
update training header text
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 1573ef82..93c0767c 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1247,7 +1247,7 @@ def create_ui(wrap_gradio_gpu_call): run_preprocess = gr.Button(value="Preprocess", variant='primary')
with gr.Tab(label="Train"):
- gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images<br/>Initial learning rates: 0.005 for an Embedding, 0.00001 for Hypernetwork <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion">wiki</a></p>")
+ gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images<br/>Initial learning rates: 0.005 for an Embedding, 0.00001 for Hypernetwork <a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
with gr.Row():
train_embedding_name = gr.Dropdown(label='Embedding', elem_id="train_embedding", choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
create_refresh_button(train_embedding_name, sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings, lambda: {"choices": sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys())}, "refresh_train_embedding_name")
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