Update app.py

app.py

@@ -3,7 +3,9 @@ import gradio as gr
 import torch
 import modin.pandas as pd
 import numpy as np
-from diffusers import DiffusionPipeline, DPMSolverSinglestepScheduler
+from diffusers import DiffusionPipeline, DPMSolverSinglestepScheduler, ControlNetModel, StableDiffusionXLControlNetPipeline, AutoencoderKL
+import requests 
+import cv2 
 
 pipe = DiffusionPipeline.from_pretrained("mann-e/Mann-E_Dreams", torch_dtype=torch.float16).to("cuda")
 pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True)
@@ -21,7 +23,7 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
     gr.Slider(576, maximum=1280, value=768, step=16, label='Width (can go up to 1280, but for square images maximum is 1024x1024)'), 
     gr.Slider(576, maximum=1280, value=768, step=16, label='Height (can go up to 1280, but for square images maximum is 1024x1024)'), 
     gr.Slider(1, maximum=8, value=6, step=1, label='Number of Iterations'), 
-    gr.Slider(minimum=0, step=1, maximum=999999999999999999, randomize=True),
+    gr.Slider(minimum=0, step=1, maximum=999999999999999999, randomize=True, label="Seed"),
     ],
     outputs='image', 
     title="Mann-E Dreams",