Update app.py

app.py

@@ -4,11 +4,13 @@ import random
 import spaces
 import torch
 from diffusers import DiffusionPipeline
+from huggingface_hub import InferenceClient
 
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
+sdxl = InferenceClient(model="stabilityai/stable-diffusion-xl-base-1.0", token=os.environ['HF_TOKEN'])
 
 #pipeline2Image = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", torch_dtypes=torch.bfloat16).to("cpu")
 
@@ -29,6 +31,11 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
         generator=generator,
         guidance_scale=guidance_scale
     ).images[0] 
+    image = sdxl.text_to_image(
+        "Dark gothic city in a misty night, lit by street lamps. A man in a cape is walking away from us",
+        guidance_scale=9, num_inference_steps=50
+    )
+    
     return image, seed
 
 examples = [
@@ -63,7 +70,7 @@ with gr.Blocks(css=css) as demo:
             )
             
             run_button = gr.Button("Run", scale=0)
-        
+
         result = gr.Image(label="Result", show_label=False)
         
         with gr.Accordion("Advanced Settings", open=False):