Update handler.py

handler.py

@@ -98,7 +98,7 @@ class EndpointHandler():
         #pipe = AutoPipelineForInpainting.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype=torch.float16, variant="fp16").to("cuda")
         
         # run inference pipeline
-        out = self.pipe(prompt=prompt, negative_prompt=negative_prompt, image=image, mask_image=mask_image, num_inference_steps=num_inference_steps)
+        out = self.pipe(prompt=prompt, negative_prompt=negative_prompt, image=image, mask_image=mask_image, strength=strength, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps)
 
         print("1st pipeline part successful!")