.

options/Banner_Model/Image2Image_2.py

@@ -29,6 +29,6 @@
 from gradio_client import Client
 def I2I_2(image, prompt,size,num_inference_steps,guidance_scale):
     client = Client("https://hysts-controlnet-v1-1.hf.space/")
-    res=client.predict(image=image,prompt=prompt,additional_prompt="best quality, extremely detailed",negative_prompt="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",num_images=1,image_resolution=size,preprocess_resolution=size,num_steps=num_inference_steps,guidance_scale=guidance_scale,seed=0,preprocessor_name="Lineart",api_name="/lineart")
+    res=client.predict([image,prompt,"best quality, extremely detailed","longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",1,size,size,num_inference_steps,guidance_scale,0,"Lineart","/lineart"])
     print(res)
     return res