Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse filesoptimize lr and batchsize
app.py
CHANGED
@@ -202,11 +202,11 @@ with gr.Blocks() as demo:
|
|
202 |
with gr.Accordion(label="Advanced settings", open=False):
|
203 |
num_tokens = gr.Number(value="5", label="num tokens to represent each object", interactive= True)
|
204 |
num_tokens_global = num_tokens
|
205 |
-
embedding_learning_rate = gr.Textbox(value="0.
|
206 |
-
max_emb_train_steps = gr.Number(value="
|
207 |
|
208 |
-
diffusion_model_learning_rate = gr.Textbox(value="0.
|
209 |
-
max_diffusion_train_steps = gr.Number(value="
|
210 |
|
211 |
train_batch_size = gr.Number(value="20", label="Batch size", interactive= True )
|
212 |
gradient_accumulation_steps=gr.Number(value="2", label="Gradient accumulation", interactive= True )
|
@@ -250,7 +250,7 @@ with gr.Blocks() as demo:
|
|
250 |
|
251 |
|
252 |
#with gr.Tab(label="3 Editing"):
|
253 |
-
with gr.Tab(label="
|
254 |
|
255 |
with gr.Row():
|
256 |
with gr.Column():
|
@@ -263,8 +263,8 @@ with gr.Blocks() as demo:
|
|
263 |
with gr.Accordion(label="Advanced settings", open=False):
|
264 |
slider2 = gr.Slider(0, 20, step=1, label = 'mask id', visible=False)
|
265 |
#tgt_index = gr.Number(value="0", label="Editing: Object index", interactive= True )
|
266 |
-
guidance_scale = gr.Textbox(value="
|
267 |
-
num_sampling_steps = gr.Number(value="
|
268 |
edge_thickness = gr.Number(value="10", label="Editing: Edge thickness", interactive= True )
|
269 |
strength = gr.Textbox(value="0.5", label="Editing: Mask strength", interactive= True )
|
270 |
|
|
|
202 |
with gr.Accordion(label="Advanced settings", open=False):
|
203 |
num_tokens = gr.Number(value="5", label="num tokens to represent each object", interactive= True)
|
204 |
num_tokens_global = num_tokens
|
205 |
+
embedding_learning_rate = gr.Textbox(value="0.00025", label="Embedding optimization: Learning rate", interactive= True )
|
206 |
+
max_emb_train_steps = gr.Number(value="6", label="embedding optimization: Training steps", interactive= True )
|
207 |
|
208 |
+
diffusion_model_learning_rate = gr.Textbox(value="0.0002", label="UNet Optimization: Learning rate", interactive= True )
|
209 |
+
max_diffusion_train_steps = gr.Number(value="28", label="UNet Optimization: Learning rate: Training steps", interactive= True )
|
210 |
|
211 |
train_batch_size = gr.Number(value="20", label="Batch size", interactive= True )
|
212 |
gradient_accumulation_steps=gr.Number(value="2", label="Gradient accumulation", interactive= True )
|
|
|
250 |
|
251 |
|
252 |
#with gr.Tab(label="3 Editing"):
|
253 |
+
with gr.Tab(label="Text-based editing"):
|
254 |
|
255 |
with gr.Row():
|
256 |
with gr.Column():
|
|
|
263 |
with gr.Accordion(label="Advanced settings", open=False):
|
264 |
slider2 = gr.Slider(0, 20, step=1, label = 'mask id', visible=False)
|
265 |
#tgt_index = gr.Number(value="0", label="Editing: Object index", interactive= True )
|
266 |
+
guidance_scale = gr.Textbox(value="5", label="Editing: CFG guidance scale", interactive= True )
|
267 |
+
num_sampling_steps = gr.Number(value="20", label="Editing: Sampling steps", interactive= True )
|
268 |
edge_thickness = gr.Number(value="10", label="Editing: Edge thickness", interactive= True )
|
269 |
strength = gr.Textbox(value="0.5", label="Editing: Mask strength", interactive= True )
|
270 |
|