Update app.py

app.py

@@ -29,8 +29,8 @@ def predict(dict, prompt="", negative_prompt="", guidance_scale=7.5, steps=20, s
     scheduler = getattr(diffusers, scheduler_class_name)
     pipe.scheduler = scheduler.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", subfolder="scheduler", **add_kwargs)
     
-    init_image = dict["image"].convert("RGB").resize((1024, 1024))
-    mask = dict["mask"].convert("RGB").resize((1024, 1024))
+    init_image = dict["image"].convert("RGB")
+    mask = dict["mask"].convert("RGB")
     
     output = pipe(prompt = prompt, negative_prompt=negative_prompt, image=init_image, mask_image=mask, guidance_scale=guidance_scale, num_inference_steps=int(steps), strength=strength)