Update main.py

main.py

@@ -173,7 +173,6 @@ class InputImage(BaseModel):
 
 @app.post("/Immagine")
 def generate_image(request: Request, input_data: InputImage):
-    #client = Client("https://hysts-sd-xl.hf.space/--replicas/cplz0/")
     client = Client("https://manjushri-sdxl-1-0.hf.space/")
     
     if input_data.style:    
@@ -192,38 +191,20 @@ def generate_image(request: Request, input_data: InputImage):
     attempt = 0
     while attempt < max_attempts:
         try:
-            #result = client.predict(
-            #    input_data.input,	# str  in 'Prompt' Textbox component
-        	#	input_data.negativePrompt,	# str  in 'Negative prompt' Textbox component
-        	#	input_data.input,	# str  in 'Prompt 2' Textbox component
-        	#	input_data.negativePrompt,	# str  in 'Negative prompt 2' Textbox component
-        	#	True,	# bool  in 'Use negative prompt' Checkbox component
-        	#	True,	# bool  in 'Use prompt 2' Checkbox component
-        	#	True,	# bool  in 'Use negative prompt 2' Checkbox component
-        	#	input_data.seed,	# float (numeric value between 0 and 2147483647) in 'Seed' Slider component
-        	#	1024,	# float (numeric value between 256 and 1024) in 'Width' Slider component
-        	#	1024,	# float (numeric value between 256 and 1024) in 'Height' Slider component
-        	#	input_data.cfg,	# float (numeric value between 1 and 20) in 'Guidance scale for base' Slider component
-        	#	input_data.cfg,	# float (numeric value between 1 and 20) in 'Guidance scale for refiner' Slider component
-        	#	input_data.steps,	# float (numeric value between 10 and 100) in 'Number of inference steps for base' Slider component
-        	#	input_data.steps,	# float (numeric value between 10 and 100) in 'Number of inference steps for refiner' Slider component
-        	#	True,	# bool  in 'Apply refiner' Checkbox component
-        	#	api_name="/run"    
-            #)
             result = client.predict(
-                input_data.input,	# str  in 'What you want the AI to generate. 77 Token Limit. A Token is Any Word, Number, Symbol, or Punctuation. Everything Over 77 Will Be Truncated!' Textbox component
-                input_data.negativePrompt,	# str  in 'What you Do Not want the AI to generate. 77 Token Limit' Textbox component
-                1024,	# int | float (numeric value between 512 and 1024) in 'Height' Slider component
-                1024,	# int | float (numeric value between 512 and 1024) in 'Width' Slider component
-                input_data.cfg,	# int | float (numeric value between 1 and 15) in 'Guidance Scale: How Closely the AI follows the Prompt' Slider component
-                input_data.steps,	# int | float (numeric value between 25 and 100) in 'Number of Iterations' Slider component
-                0,	# int | float (numeric value between 0 and 999999999999999999) in 'Seed: 0 is Random' Slider component
-                "Yes",	# str  in 'Upscale?' Radio component
-                "",	# str  in 'Embedded Prompt' Textbox component
-                "",	# str  in 'Embedded Negative Prompt' Textbox component
-                0.99,	# int | float (numeric value between 0.7 and 0.99) in 'Refiner Denoise Start %' Slider component
-                input_data.steps,	# int | float (numeric value between 1 and 100) in 'Refiner Number of Iterations %' Slider component
-                api_name="/predict"
+				"Smiling Dog in a unicorn",	# str  in 'What you want the AI to generate. 77 Token Limit. A Token is Any Word, Number, Symbol, or Punctuation. Everything Over 77 Will Be Truncated!' Textbox component
+				"",	# str  in 'What you Do Not want the AI to generate. 77 Token Limit' Textbox component
+				1024,	# int | float (numeric value between 512 and 1024) in 'Height' Slider component
+				1024,	# int | float (numeric value between 512 and 1024) in 'Width' Slider component
+				7,	# int | float (numeric value between 1 and 15) in 'Guidance Scale: How Closely the AI follows the Prompt' Slider component
+				30,	# int | float (numeric value between 25 and 100) in 'Number of Iterations' Slider component
+				0,	# int | float (numeric value between 0 and 999999999999999999) in 'Seed: 0 is Random' Slider component
+				"Yes",	# str  in 'Upscale?' Radio component
+				"",	# str  in 'Embedded Prompt' Textbox component
+				"",	# str  in 'Embedded Negative Prompt' Textbox component
+				0.7,	# int | float (numeric value between 0.7 and 0.99) in 'Refiner Denoise Start %' Slider component
+				1,	# int | float (numeric value between 1 and 100) in 'Refiner Number of Iterations %' Slider component
+				api_name="/predict"
             ) 
             image_url = result
             with open(image_url, 'rb') as img_file: