Update app.py

app.py

@@ -58,9 +58,9 @@ pipe = AutoPipelineForText2Image.from_pretrained(
 
 @spaces.GPU
 def infer(edit_images, prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
-    image = edit_images["background"]
+    image = edit_images["background"].convert("RGB")
     # width, height = calculate_optimal_dimensions(image)
-    mask = edit_images["layers"][0]
+    mask = edit_images["layers"][0].convert("RGB")
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     image = pipe(