Update app.py

app.py

@@ -5,19 +5,19 @@
 import gradio as gr
 from diffusers import StableDiffusionPipeline
 
-def process_image(prompt, num_inference_steps, guidance_scale, cross_attention_kwargs):
+def process_image(prompt, num_inference_steps, guidance_scale):
     model_path = "Akbartus/Lora360"
     pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
     pipe.unet.load_attn_procs(model_path)
     pipe.to("cpu")
-    image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale, cross_attention_kwargs=cross_attention_kwargs).images[0]
+    image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale).images[0]
     return image
 
-iface = gr.Interface(fn=process_image, inputs=["text", "number", "number", "dictionary"], 
+iface = gr.Interface(fn=process_image, inputs=["text", "number", "number"], 
                      outputs="image", 
                      examples=[
-                         ["A pokemon with blue eyes.", 25, 7.5, {"scale": 0.5}],
-                         ["A beautiful sunset.", 30, 5.0, {"scale": 0.3}]
+                         ["A pokemon with blue eyes.", 25, 7.5],
+                         ["A beautiful sunset.", 30, 5.0]
                      ])
 iface.launch()