Update app.py

app.py

@@ -1,5 +1,26 @@
 import gradio as gr
-from diffusers import DiffusionPipeline
+import torch
+import gradio as gr
+from PIL import Image
+import qrcode
+from pathlib import Path
+from multiprocessing import cpu_count
+import requests
+import io
+import os
+from PIL import Image
+
+from diffusers import (
+    DiffusionPipeline
+    StableDiffusionPipeline,
+    StableDiffusionControlNetImg2ImgPipeline,
+    ControlNetModel,
+    DDIMScheduler,
+    DPMSolverMultistepScheduler,
+    DEISMultistepScheduler,
+    HeunDiscreteScheduler,
+    EulerDiscreteScheduler,
+)
 
 pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
 def generate(prompt):