Update app.py

app.py

@@ -1,24 +1,5 @@
-# import gradio as gr
-
-# gr.Interface.load("models/Akbartus/Lora360").launch(show_api=True)
-
 import gradio as gr
-from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
-
-def process_image(prompt, num_inference_steps, guidance_scale):
 
-    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", safety_checker=None, use_safetensors=True)
-    pipe.to("cpu")
-    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True)
-    pipe.load_lora_weights("Akbartus/Lora360", weight_name="360Diffusion_v1.safetensors")
-    image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale).images[0]
-    return image
+gr.Interface.load("models/Akbartus/Lora360").launch(show_api=True)
 
-iface = gr.Interface(fn=process_image, inputs=["text", "number", "number"], 
-                     outputs="image", 
-                     examples=[
-                         ["A pokemon with blue eyes.", 25, 7],
-                         ["A beautiful sunset.", 30, 5]
-                     ])
-iface.launch()