Update app.py

app.py

@@ -1,7 +1,22 @@
-import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the Stable Diffusion 3.5 model
+model_id = "stabilityai/stable-diffusion-3.5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe.to("cuda")
+
+# Define the path to the LoRA model (since it's in the main directory)
+lora_model_path = "lora_model.pth"  # Path to the uploaded LoRA model
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the LoRA model weights into the pipeline
+pipe.load_lora_model(lora_model_path)  # Integrate the LoRA weights
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Function to generate an image from a text prompt
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+import gradio as gr
+iface = gr.Interface(fn=generate_image, inputs="text", outputs="image")
+iface.launch()