Update app.py

app.py

@@ -110,6 +110,60 @@ def resize_to_match(input_image, output_image):
     
     return output_image.resize(input_image.size, Image.BICUBIC)  # Use BILINEAR for faster resizing
 
+def generate_image(image_path, mask_path, text_prompt="undress"):
+    result = client.predict(
+				"",	# str in 'parameter_10' Textbox component
+				"",	# str in 'Negative Prompt' Textbox component
+				["Fooocus V2","Fooocus Enhance","Fooocus Sharp"],	# List[str] in 'Selected Styles' Checkboxgroup component
+				"Quality",	# str in 'Performance' Radio component
+				'704×1408 <span style="color: grey;"> ∣ 1:2</span>',	# str in 'Aspect Ratios' Radio component
+				1,	# int | float (numeric value between 1 and 32) in 'Image Number' Slider component
+				"-1",	# str in 'Seed' Textbox component
+				0,	# int | float (numeric value between 0.0 and 30.0) in 'Image Sharpness' Slider component
+				1,	# int | float (numeric value between 1.0 and 30.0) in 'Guidance Scale' Slider component
+				"juggernautXL_version6Rundiffusion.safetensors",	# str (Option from: ['ACertainty.ckpt', 'ACertainty.safetensors', 'juggernautXL_version6Rundiffusion.safetensors']) in 'Base Model (SDXL only)' Dropdown component
+				"None",	# str (Option from: ['None', 'ACertainty.ckpt', 'ACertainty.safetensors', 'juggernautXL_version6Rundiffusion.safetensors']) 								in 'Refiner (SDXL or SD 1.5)' Dropdown component
+				0.1,	# int | float (numeric value between 0.1 and 1.0)								in 'Refiner Switch At' Slider component
+				"None",	# str (Option from: ['None', 'sdxl_lcm_lora.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors'])								in 'LoRA 1' Dropdown component
+				-2,	# int | float (numeric value between -2 and 2)								in 'Weight' Slider component
+				"None",	# str (Option from: ['None', 'sdxl_lcm_lora.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors'])								in 'LoRA 2' Dropdown component
+				-2,	# int | float (numeric value between -2 and 2)								in 'Weight' Slider component
+				"None",	# str (Option from: ['None', 'sdxl_lcm_lora.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors'])								in 'LoRA 3' Dropdown component
+				-2,	# int | float (numeric value between -2 and 2)								in 'Weight' Slider component
+				"None",	# str (Option from: ['None', 'sdxl_lcm_lora.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors'])								in 'LoRA 4' Dropdown component
+				-2,	# int | float (numeric value between -2 and 2)								in 'Weight' Slider component
+				"None",	# str (Option from: ['None', 'sdxl_lcm_lora.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors'])								in 'LoRA 5' Dropdown component
+				-2,	# int | float (numeric value between -2 and 2)								in 'Weight' Slider component
+				True,	# bool in 'Input Image' Checkbox component
+				"",	# str in 'parameter_85' Textbox component
+				"Disabled",	# str in 'Upscale or Variation:' Radio component
+				None,	# str (filepath or URL to image)								in 'Drag above image to here' Image component
+				[],	# List[str] in 'Outpaint Direction' Checkboxgroup component
+
+				image_path,	# str (filepath or URL to image)								in 'Drag inpaint or outpaint image to here' Image component
+				"",	# str in 'Inpaint Additional Prompt' Textbox component
+				mask_path,	# str (filepath or URL to image)	in 'Mask Upload' Image component
+
+				image_path,	# str (filepath or URL to image)		in 'Image' Image component
+				0,	# int | float (numeric value between 0.0 and 1.0)								in 'Stop At' Slider component
+				0,	# int | float (numeric value between 0.0 and 2.0)								in 'Weight' Slider component
+				"ImagePrompt",	# str in 'Type' Radio component
+				None,	# str (filepath or URL to image)								in 'Image' Image component
+				0,	# int | float (numeric value between 0.0 and 1.0)								in 'Stop At' Slider component
+				0,	# int | float (numeric value between 0.0 and 2.0)								in 'Weight' Slider component
+				"ImagePrompt",	# str in 'Type' Radio component
+				None,	# str (filepath or URL to image)								in 'Image' Image component
+				0,	# int | float (numeric value between 0.0 and 1.0)								in 'Stop At' Slider component
+				0,	# int | float (numeric value between 0.0 and 2.0)								in 'Weight' Slider component
+				"ImagePrompt",	# str in 'Type' Radio component
+				None,	# str (filepath or URL to image)								in 'Image' Image component
+				0,	# int | float (numeric value between 0.0 and 1.0)								in 'Stop At' Slider component
+				0,	# int | float (numeric value between 0.0 and 2.0)								in 'Weight' Slider component
+				"ImagePrompt",	# str in 'Type' Radio component
+
+				fn_index=33
+)
+
 # Function to generate the mask using Florence SAM Masking API (Replicate)
 def generate_mask(image_path, text_prompt="clothing"):
     client_sam = Client("SkalskiP/florence-sam-masking")