Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import numpy as np
 import random
-
+from PIL import Image
 import spaces
 import torch
 from huggingface_hub import hf_hub_download
@@ -28,6 +28,8 @@ pipe_prior_redux = FluxPriorReduxPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 ).to("cuda")
 
+examples = [[Image.open("mona_lisa.jpg"), "pink hair, at the beach", "", "", 0.35]]
+
 @spaces.GPU
 def infer(control_image, prompt,  image_2, prompt_2, reference_scale= 0.03 , 
           prompt_embeds_scale_1 =1, prompt_embeds_scale_2 =1, pooled_prompt_embeds_scale_1 =1, pooled_prompt_embeds_scale_2 =1,
@@ -180,16 +182,13 @@ Hyper FLUX 8 Steps LoRA](https://huggingface.co/ByteDance/Hyper-SD)
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=50,
+                    maximum=30,
                     step=1,
-                    value=28,
+                    value=8,
                 )
 
         gr.Examples(
-                examples=[
-                    ["mona_lisa.jpg", "pink hair, at the beach", "", "", 0.35],
-                  
-                ],
+                examples=examples,
                 inputs=[input_image, prompt, image_2, prompt_2, reference_scale],
                 outputs=[result],
                 fn=infer,