Update app.py

app.py

@@ -15,7 +15,7 @@ YOUR_TOKEN=MY_SECRET_TOKEN
 
 device="cpu"
 
-pipe = StableDiffusionInpaintPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", use_auth_token=YOUR_TOKEN)
+pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", use_auth_token=YOUR_TOKEN)
 pipe.to(device)
 
 source_img = gr.Image(source="upload", type="numpy", tool="sketch", elem_id="source_container");
@@ -38,7 +38,7 @@ def predict(source_img, prompt):
     mask = resize(512, "data_mask.png")  
     mask.save("mask.png")
     
-    images_list = pipe([prompt] * 2, init_image=src, mask_image=mask, strength=0.75)
+    images_list = pipe([prompt] * 2, image=src, mask_image=mask, strength=0.75)
     images = []
     safe_image = Image.open(r"unsafe.png")
     for i, image in enumerate(images_list["images"]):