Spaces:
Runtime error
Runtime error
improve performance
Browse files
app.py
CHANGED
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@@ -74,6 +74,41 @@ def create_ui():
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def train(novita_key, gender, base_model, training_name, max_train_steps, training_images):
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training_images = [_.name for _ in training_images]
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try:
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get_noviata_client(novita_key).create_training_subject(
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base_model=base_model,
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name=training_name,
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@@ -81,7 +116,7 @@ def create_ui():
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class_prompt="person",
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max_train_steps=max_train_steps,
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images=training_images,
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components=
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learning_rate=3e-4,
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seed=None,
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lr_scheduler='cosine_with_restarts',
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@@ -111,7 +146,7 @@ def create_ui():
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lora_text_encoder_r=32,
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lora_text_encoder_alpha=32,
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),
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components=[_.to_dict() for _ in
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)
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except Exception as e:
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logging.error(e)
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def train(novita_key, gender, base_model, training_name, max_train_steps, training_images):
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training_images = [_.name for _ in training_images]
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try:
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FACE_TRAINING_DEFAULT_COMPONENTS_NEW = [
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TrainingComponent(
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name="face_crop_region",
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args=[{
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"name": "ratio",
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"value": "1.4"
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}]
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),
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TrainingComponent(
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name="resize",
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args=[
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{
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"name": "height",
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"value": "512",
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},
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{
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"name": "width",
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"value": "512",
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}
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]
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),
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TrainingComponent(
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name="face_restore",
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args=[
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{
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"name": "method",
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"value": "gfpgan_1.4"
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},
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{
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"name": "upscale",
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"value": "1.0"
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}
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]
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),
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]
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get_noviata_client(novita_key).create_training_subject(
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base_model=base_model,
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name=training_name,
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class_prompt="person",
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max_train_steps=max_train_steps,
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images=training_images,
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components=FACE_TRAINING_DEFAULT_COMPONENTS_NEW,
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learning_rate=3e-4,
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seed=None,
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lr_scheduler='cosine_with_restarts',
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lora_text_encoder_r=32,
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lora_text_encoder_alpha=32,
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),
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components=[_.to_dict() for _ in FACE_TRAINING_DEFAULT_COMPONENTS_NEW],
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)
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except Exception as e:
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logging.error(e)
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