app.py: removed examples.

app.py

@@ -121,28 +121,28 @@ def get_example ():
 
 def run_for_examples_with_key (novita_key):
 	def run_for_examples (face_file, pose_file, prompt, style, negative_prompt):
-		print('run_for_examples:', face_file)
-		return generate_image(
-			novita_key,
-			face_file,
-			pose_file,
-			prompt,
-			negative_prompt,
-			style,
-			20,		# num_steps
-			0.8,	# identitynet_strength_ratio
-			0.8,	# adapter_strength_ratio
-			0.4,	# pose_strength
-			0.3,	# canny_strength
-			0.5,	# depth_strength
-			['pose', 'canny'],	# controlnet_selection
-			5.0,	# guidance_scale
-			42,		# seed
-			'EulerDiscreteScheduler',	# scheduler
-			False,	# enable_LCM
-			True,	# enable_Face_Region
-		)
-		#return None, gr.update(visible=True)
+		print('run_for_examples:', novita_key, face_file)
+		#return generate_image(
+		#	novita_key,
+		#	face_file,
+		#	pose_file,
+		#	prompt,
+		#	negative_prompt,
+		#	style,
+		#	20,		# num_steps
+		#	0.8,	# identitynet_strength_ratio
+		#	0.8,	# adapter_strength_ratio
+		#	0.4,	# pose_strength
+		#	0.3,	# canny_strength
+		#	0.5,	# depth_strength
+		#	['pose', 'canny'],	# controlnet_selection
+		#	5.0,	# guidance_scale
+		#	42,		# seed
+		#	'Euler a',	# scheduler
+		#	#False,	# enable_LCM
+		#	True,	# enable_Face_Region
+		#)
+		return None, gr.update(visible=True)
 	return run_for_examples
 
 
@@ -163,7 +163,7 @@ def generate_image (
 	guidance_scale,
 	seed,
 	scheduler,
-	enable_LCM,
+	#enable_LCM,
 	enhance_face_region,
 	progress=gr.Progress(track_tqdm=True),
 ):
@@ -299,10 +299,10 @@ with gr.Blocks(css=css) as demo:
 			)
 
 			submit = gr.Button('Submit', variant='primary')
-			enable_LCM = gr.Checkbox(
-				label='Enable Fast Inference with LCM', value=enable_lcm_arg,
-				info='LCM speeds up the inference step, the trade-off is the quality of the generated image. It performs better with portrait face images rather than distant faces',
-			)
+			#enable_LCM = gr.Checkbox(
+			#	label='Enable Fast Inference with LCM', value=enable_lcm_arg,
+			#	info='LCM speeds up the inference step, the trade-off is the quality of the generated image. It performs better with portrait face images rather than distant faces',
+			#)
 			style = gr.Dropdown(
 				label='Style template',
 				choices=STYLE_NAMES,
@@ -430,27 +430,27 @@ with gr.Blocks(css=css) as demo:
 				guidance_scale,
 				seed,
 				scheduler,
-				enable_LCM,
+				#enable_LCM,
 				enhance_face_region,
 			],
 			outputs=[gallery, usage_tips],
 		)
 
-		enable_LCM.input(
-			fn=toggle_lcm_ui,
-			inputs=[enable_LCM],
-			outputs=[num_steps, guidance_scale],
-			queue=False,
-		)
-
-	gr.Examples(
-		examples=get_example(),
-		inputs=[face_file, pose_file, prompt, style, negative_prompt],
-		fn=run_for_examples_with_key(novita_key),
-		run_on_click=True,
-		outputs=[gallery, usage_tips],
-		cache_examples=True,
-	)
+		#enable_LCM.input(
+		#	fn=toggle_lcm_ui,
+		#	inputs=[enable_LCM],
+		#	outputs=[num_steps, guidance_scale],
+		#	queue=False,
+		#)
+
+	#gr.Examples(
+	#	examples=get_example(),
+	#	inputs=[face_file, pose_file, prompt, style, negative_prompt],
+	#	fn=run_for_examples_with_key(novita_key),
+	#	run_on_click=True,
+	#	outputs=[gallery, usage_tips],
+	#	cache_examples=True,
+	#)
 
 	gr.Markdown(article)